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Volumn 27, Issue 5, 2012, Pages 907-936

Evolutionary optimization: Pitfalls and booby traps

Author keywords

Evolutionary computing; Meta heuristics; Optimization; Problem difficulty

Indexed keywords

BLACK-BOX OPTIMIZATION; COMMERCIAL SOFTWARE; CONVERGENCE ISSUES; EVOLUTIONARY COMPUTING; EVOLUTIONARY OPTIMIZATIONS; FITNESS LANDSCAPE; META HEURISTICS; METAHEURISTIC; NON-SEPARABILITY; OPTIMIZATION PROBLEMS; PROBLEM DIFFICULTY; REAL-WORLD TASK; SCALABILITY ISSUE;

EID: 84870910360     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11390-012-1274-4     Document Type: Article
Times cited : (107)

References (233)
  • 5
    • 0002338687 scopus 로고
    • A genetic algorithm tutorial
    • Whitley L D. A genetic algorithm tutorial. Statistics and Computing, 1994, 4(2): 65-85.
    • (1994) Statistics and Computing , vol.4 , Issue.2 , pp. 65-85
    • Whitley, L.D.1
  • 8
    • 0037016631 scopus 로고    scopus 로고
    • Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state of the art
    • DOI 10.1016/S0045-7825(01)00323-1, PII S0045782501003231
    • Coello Coello C A. Theoretical and numerical constrainthandling techniques used with evolutionary algorithms: A survey of the state of the art. Computer Methods in Applied Mechanics and Engineering, 2002, 191(11-12): 1245-1287. (Pubitemid 34099386)
    • (2002) Computer Methods in Applied Mechanics and Engineering , vol.191 , Issue.11-12 , pp. 1245-1287
    • Coello Coello, C.A.1
  • 13
    • 76149097532 scopus 로고    scopus 로고
    • Analysis of computational time of simple estimation of distribution algorithms
    • Chen T, Tang K, Chen G, Yao X. Analysis of computational time of simple estimation of distribution algorithms. IEEE Transactions on Evolutionary Computation, 2010, 14(1): 1-22.
    • (2010) IEEE Transactions on Evolutionary Computation , vol.14 , Issue.1 , pp. 1-22
    • Chen, T.1    Tang, K.2    Chen, G.3    Yao, X.4
  • 14
    • 74149085083 scopus 로고    scopus 로고
    • Choosing selection pressure for wide-gap problems
    • Chen T, He J, Chen G, Yao X. Choosing selection pressure for wide-gap problems. Theoretical Computer Science, 2010, 411(6): 926-934.
    • (2010) Theoretical Computer Science , vol.411 , Issue.6 , pp. 926-934
    • Chen, T.1    He, J.2    Chen, G.3    Yao, X.4
  • 15
    • 0037381842 scopus 로고    scopus 로고
    • Towards an analytic framework for analysing the computation time of evolutionary algorithms
    • He J, Yao X. Towards an analytic framework for analysing the computation time of evolutionary algorithms. Artificial Intelligence, 2003, 145(1-2): 59-97.
    • (2003) Artificial Intelligence , vol.145 , Issue.1-2 , pp. 59-97
    • He, J.1    Yao, X.2
  • 16
    • 38149103197 scopus 로고    scopus 로고
    • A note on problem difficulty measures in black-box optimization: Classification, realizations and predictability
    • He J, Reeves C R, Witt C, Yao X. A note on problem difficulty measures in black-box optimization: Classification, realizations and predictability. Evolutionary Computation, 2007, 15(4): 435-443.
    • (2007) Evolutionary Computation , vol.15 , Issue.4 , pp. 435-443
    • He, J.1    Reeves, C.R.2    Witt, C.3    Yao, X.4
  • 18
    • 84864671691 scopus 로고    scopus 로고
    • A study on scalable representations for evolutionary optimization of ground structures
    • Devert A, Weise T, Tang K. A study on scalable representations for evolutionary optimization of ground structures. Evolutionary Computation, 2012, 20(3): 453-472.
    • (2012) Evolutionary Computation , vol.20 , Issue.3 , pp. 453-472
    • Devert, A.1    Weise, T.2    Tang, K.3
  • 21
    • 0001961776 scopus 로고
    • Dynamic parameter encoding for genetic algorithms
    • Schraudolph N N, Belew R K. Dynamic parameter encoding for genetic algorithms. Machine Learning, 1992, 9(1): 9-21.
    • (1992) Machine Learning , vol.9 , Issue.1 , pp. 9-21
    • Schraudolph, N.N.1    Belew, R.K.2
  • 26
    • 84870907396 scopus 로고    scopus 로고
    • Some facts about so called GA-hardness measures
    • Centre de Mathématiques APpliquées (CMAP)
    • Naudts B, Kallel L. Some facts about so called GA-hardness measures. Rapport Interne (R.I.) 379, Centre de Mathématiques APpliquées (CMAP), 1998.
    • (1998) Rapport Interne (R.I.) 379
    • Naudts, B.1    Kallel, L.2
  • 29
    • 34547427292 scopus 로고    scopus 로고
    • Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results
    • DOI 10.1007/s11633-007-0281-3
    • Oliveto P S, He J, Yao X. Time complexity of evolutionary algorithms for combinatorial optimization: A decade of results. International Journal of Automation and Computing, 2007, 4(3): 281-293. (Pubitemid 47167355)
    • (2007) International Journal of Automation and Computing , vol.4 , Issue.3 , pp. 281-293
    • Oliveto, P.S.1    He, J.2    Yao, X.3
  • 30
    • 70349866664 scopus 로고    scopus 로고
    • Analysis of the (1+1)-ea for finding approximate solutions to vertex cover problems
    • Oliveto P S, He J, Yao X. Analysis of the (1+1)-ea for finding approximate solutions to vertex cover problems. IEEE Trans. Evolutionary Computation, 2009, 13(5): 1006-1029.
    • (2009) IEEE Trans. Evolutionary Computation , vol.13 , Issue.5 , pp. 1006-1029
    • Oliveto, P.S.1    He, J.2    Yao, X.3
  • 31
    • 3543124342 scopus 로고
    • Genetic algorithm difficulty and the modality of the fitness landscape
    • Estes Park, CO, USA, July 31-August 2
    • Horn J, Goldberg D E. Genetic algorithm difficulty and the modality of the fitness landscape. In Proc. The 3rd Workshop on Foundations of Genetic Algorithms, Estes Park, CO, USA, July 31-August 2, 1994, pp.243-269.
    • (1994) Proc. The 3rd Workshop on Foundations of Genetic Algorithms , pp. 243-269
    • Horn, J.1    Goldberg, D.E.2
  • 32
    • 33750250373 scopus 로고    scopus 로고
    • Comparison of multi-modal optimization algorithms based on evolutionary algorithms
    • GECCO 2006 - Genetic and Evolutionary Computation Conference
    • Singh G, Deb K. Comparison of multi-modal optimization algorithms based on evolutionary algorithms. In Proc. The 8th Annual Conference on Genetic and Evolutionary Computation, Seattle, WA, USA, July 8-12, 2006, pp.1305-1312. (Pubitemid 44611466)
    • (2006) GECCO 2006 - Genetic and Evolutionary Computation Conference , vol.2 , pp. 1305-1312
    • Singh, G.1    Deb, K.2
  • 38
    • 0002449925 scopus 로고
    • Genetic algorithms - Computer programs that "evolve" in ways that resemble natural selection can solve complex problems even their creators do not fully understand
    • Holland J H. Genetic algorithms - Computer programs that "evolve" in ways that resemble natural selection can solve complex problems even their creators do not fully understand. Scientific American, 1992, 267(1): 44-50.
    • (1992) Scientific American , vol.267 , Issue.1 , pp. 44-50
    • Holland, J.H.1
  • 40
    • 0003309776 scopus 로고    scopus 로고
    • On Evolutionary Exploration and Exploitation
    • Eiben Á E, Schippers C A. On evolutionary exploration and exploitation. Fundamenta Informaticae, 1998, 35(1-4): 35-50. (Pubitemid 128435957)
    • (1998) Fundamenta Informaticae , vol.35 , Issue.1-4 , pp. 35-50
    • Eiben, A.E.1    Schippers, C.A.2
  • 41
    • 0001724713 scopus 로고
    • Tabu search - Part ii
    • Glover F. Tabu search - Part ii. ORSA Journal on Computing, 1990, 2(1): 190-206.
    • (1990) ORSA Journal on Computing , vol.2 , Issue.1 , pp. 190-206
    • Glover, F.1
  • 42
    • 0034247391 scopus 로고    scopus 로고
    • A note on the finite time behaviour of simulated annealing
    • Nolte A, Schrader R. A note on the finite time behaviour of simulated annealing. Mathematics of Operations Research, 2000, 25(3): 476-484.
    • (2000) Mathematics of Operations Research , vol.25 , Issue.3 , pp. 476-484
    • Nolte, A.1    Schrader, R.2
  • 43
    • 43949164756 scopus 로고
    • Simulated annealing: Practice versus theory
    • Ingber L. Simulated annealing: Practice versus theory. Mathematical and Computer Modelling, 1993, 18(11): 29-57.
    • (1993) Mathematical and Computer Modelling , vol.18 , Issue.11 , pp. 29-57
    • Ingber, L.1
  • 44
    • 84859712665 scopus 로고    scopus 로고
    • On the impact of mutation-selection balance on the runtime of evolutionary algorithms
    • Lehre P K, Yao X. On the impact of mutation-selection balance on the runtime of evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 2012, 16(2): 225-241.
    • (2012) IEEE Transactions on Evolutionary Computation , vol.16 , Issue.2 , pp. 225-241
    • Lehre, P.K.1    Yao, X.2
  • 45
    • 70449850206 scopus 로고    scopus 로고
    • Theoretical analysis of rank-based mutation - Combining exploration and exploitation
    • Trondheim, Norway, May 18-21
    • Oliveto P S, Lehre P K, Neumann F. Theoretical analysis of rank-based mutation - Combining exploration and exploitation. In Proc. The 10th IEEE Congress on Evolutionary Computation, Trondheim, Norway, May 18-21, 2009, pp.1455-1462.
    • (2009) Proc. The 10th IEEE Congress on Evolutionary Computation , pp. 1455-1462
    • Oliveto, P.S.1    Lehre, P.K.2    Neumann, F.3
  • 46
    • 10344226190 scopus 로고    scopus 로고
    • Superior exploration-exploitation balance in shuffled complex evolution
    • DOI 10.1061/(ASCE)0733-9429(2004)130:12(1202)
    • Muttil N, Liong S. Superior exploration-exploitation balance in shuffled complex evolution. Journal of Hydraulic Engineering, 2004, 130(12): 1202-1205. (Pubitemid 39631997)
    • (2004) Journal of Hydraulic Engineering , vol.130 , Issue.12 , pp. 1202-1205
    • Muttil, N.1    Liong, S.-Y.2
  • 47
    • 32444449757 scopus 로고    scopus 로고
    • Intelligent exploration for genetic algorithms: Using self-organizing maps in evolutionary computation
    • DOI 10.1145/1068009.1068250, GECCO 2005 - Genetic and Evolutionary Computation Conference
    • Amor H B, Rettinger A. Intelligent exploration for genetic algorithms: Using self-organizing maps in evolutionary computation. In Proc. The Genetic and Evolutionary Computation Conference (GECCO2005), Washington, DC, USA, June 25-27, 2005, pp.1531-1538. (Pubitemid 43226474)
    • (2005) GECCO 2005 - Genetic and Evolutionary Computation Conference , pp. 1531-1538
    • Amor, H.B.1    Rettinger, A.2
  • 50
    • 1542273610 scopus 로고    scopus 로고
    • Evolutionary programming using the mutations based on the Lévy probability distribution
    • Lee C, Yao X. Evolutionary programming using the mutations based on the Lévy probability distribution. IEEE Transactions on Evolutionary Computation, 2004, 8(1): 1-13.
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , Issue.1 , pp. 1-13
    • Lee, C.1    Yao, X.2
  • 51
    • 0027657414 scopus 로고
    • Empirical study of genetic operators in genetic algorithms
    • Open System Design: Hardware, Software and Applications
    • Yao X. An empirical study of genetic operators in genetic algorithms. Microprocessing and Microprogramming, 1993, 38(1-5): 707-714. (Pubitemid 23694319)
    • (1993) Microprocessing and microprogramming , vol.38 , Issue.1-5 , pp. 707-714
    • Yao Xin1
  • 52
    • 0000049494 scopus 로고
    • Greedy randomized adaptive search procedures
    • Feo T A, Resende M G. Greedy randomized adaptive search procedures. J. Global Optimization, 1995, 6(2): 109-133.
    • (1995) J. Global Optimization , vol.6 , Issue.2 , pp. 109-133
    • Feo, T.A.1    Resende, M.G.2
  • 53
    • 0035478527 scopus 로고    scopus 로고
    • Optimizing epochal evolutionary search: Population-size dependent theory
    • DOI 10.1023/A:1010928206141
    • van Nimwegen E, Crutchfield J P. Optimizing epochal evolutionary search: Population-size dependent theory. Machine Learning, 2001, 45(1): 77-114. (Pubitemid 32933535)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 77-114
    • Van Nimwegen, E.1    Crutchfield, J.P.2
  • 54
    • 84860773062 scopus 로고    scopus 로고
    • A large population size can be unhelpful in evolutionary algorithms
    • June
    • Chen T, Tang K, Chen G, Yao X. A large population size can be unhelpful in evolutionary algorithms. Theoretical Computer Science, 2012, 436, June: 54-70.
    • (2012) Theoretical Computer Science , vol.436 , pp. 54-70
    • Chen, T.1    Tang, K.2    Chen, G.3    Yao, X.4
  • 55
    • 0036808673 scopus 로고    scopus 로고
    • From an individual to a population: An analysis of the first hitting time of population-based evolutionary algorithms
    • DOI 10.1109/TEVC.2002.800886
    • He J, Yao X. From an individual to a population: An analysis of the first hitting time of population-based evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 2002, 6(5): 495-511. (Pubitemid 35327565)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.5 , pp. 495-511
    • He, J.1    Yao, X.2
  • 59
    • 0002124984 scopus 로고
    • Massive multimodality, deception, and genetic algorithms
    • Brussels, Belgium, September 28-30
    • Goldberg D E, Deb K, Horn J. Massive multimodality, deception, and genetic algorithms. In Proc. The 2nd Parallel Problem Solving from Nature 2, Brussels, Belgium, September 28-30, 1992, pp.37-48.
    • (1992) Proc. The 2nd Parallel Problem Solving from Nature , vol.2 , pp. 37-48
    • Goldberg, D.E.1    Deb, K.2    Horn, J.3
  • 60
    • 0008622621 scopus 로고    scopus 로고
    • An evolutionary algorithm for multiobjective optimization: The strength pareto approach
    • Computer Engineering and Networks Laboratory (TIK), Department of Electrical Engineering, Eidgenössische Technische Hochschule (ETH) Zürich
    • Zitzler E, Thiele L. An evolutionary algorithm for multiobjective optimization: The strength pareto approach. TIK-Report 43, Computer Engineering and Networks Laboratory (TIK), Department of Electrical Engineering, Eidgenössische Technische Hochschule (ETH) Zürich, 1998.
    • (1998) TIK-Report , vol.43
    • Zitzler, E.1    Thiele, L.2
  • 61
    • 1642474729 scopus 로고    scopus 로고
    • Spea 2: Improving the strength pareto evolutionary algorithm
    • Computer Engineering and Networks Laboratory (TIK), Department of Electrical Engineering, Eidgenössische Technische Hochschule (ETH) Zürich
    • Zitzler E, Laumanns M, Thiele L. Spea 2: Improving the strength pareto evolutionary algorithm. TIK-Report 101, Computer Engineering and Networks Laboratory (TIK), Department of Electrical Engineering, Eidgenössische Technische Hochschule (ETH) Zürich, 2001.
    • (2001) TIK-Report , vol.101
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3
  • 62
    • 79959478763 scopus 로고    scopus 로고
    • Solving real-world vehicle routing problems with evolutionary algorithms
    • (Studies in Computational Intelligence 250), Chiong R, Dhakal S (eds.), Berlin/Heidelberg: Springer-Verlag
    • Weise T, Podlich A, Gorldt C. Solving real-world vehicle routing problems with evolutionary algorithms. In Natural Intelligence for Scheduling, Planning and Packing Problems (Studies in Computational Intelligence 250), Chiong R, Dhakal S (eds.), Berlin/Heidelberg: Springer-Verlag, 2009, pp.29-53.
    • (2009) Natural Intelligence for Scheduling, Planning and Packing Problems , pp. 29-53
    • Weise, T.1    Podlich, A.2    Gorldt, C.3
  • 63
    • 67650665289 scopus 로고    scopus 로고
    • Evolutionary freight transportation planning
    • Giacobini M, Brabazon A, Cagnonj S et al. (eds.), Springer-Verlag
    • Weise T, Podlich A, Reinhard K, Gorldt C, Geihs K. Evolutionary freight transportation planning. In Lecture Notes in Computer Science 5484, Giacobini M, Brabazon A, Cagnonj S et al. (eds.), Springer-Verlag, 2009, pp.768-777.
    • (2009) Lecture Notes in Computer Science , vol.5484 , pp. 768-777
    • Weise, T.1    Podlich, A.2    Reinhard, K.3    Gorldt, C.4    Geihs, K.5
  • 65
    • 84958949201 scopus 로고    scopus 로고
    • Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared
    • Parallel Problem Solving from Nature - PPSN IV
    • Darwen P J, Yao X. Every niching method has its niche: Fitness sharing and implicit sharing compared. In Proc. The 4th International Conference on Parallel Problem Solving from Nature, Berlin, Germany, September 22-24, 1996, pp.398-407. (Pubitemid 126128328)
    • (1996) Lecture Notes In Computer Science , Issue.1141 , pp. 398-407
    • Darwen, P.1    Yao, X.2
  • 66
    • 79955869973 scopus 로고    scopus 로고
    • A framework for multi-model edas with model recombination
    • Part 1, Torino, Italy, April 27-29
    • Weise T, Niemczyk S, Chiong R, Wan M. A framework for multi-model edas with model recombination. In Proc. The EvoApplications 2011, Part 1, Torino, Italy, April 27-29, 2011, pp.304-313.
    • (2011) Proc. The EvoApplications 2011 , pp. 304-313
    • Weise, T.1    Niemczyk, S.2    Chiong, R.3    Wan, M.4
  • 68
    • 37749052558 scopus 로고    scopus 로고
    • A hybrid evolutionary algorithm based on edas and clustering analysis
    • Zhangjiajie, Hunan, China, July 26-31
    • Cao A, Chen Y, Wei J, Li J. A hybrid evolutionary algorithm based on edas and clustering analysis. In Proc. The 26th Chinese Control Conference (CCC2007), Zhangjiajie, Hunan, China, July 26-31, 2007, pp.754-758.
    • (2007) Proc. The 26th Chinese Control Conference (CCC2007) , pp. 754-758
    • Cao, A.1    Chen, Y.2    Wei, J.3    Li, J.4
  • 69
    • 32444433272 scopus 로고    scopus 로고
    • Multiobjective hBOA, clustering, and scalability
    • DOI 10.1145/1068009.1068122, GECCO 2005 - Genetic and Evolutionary Computation Conference
    • Pelikan M, Sastry K, Goldberg D E. Multiobjective HBOA, clustering, and scalability. In Proc. The Genetic and Evolutionary Computation Conference (GECCO2005), Washington, DC, USA, June 25-27, 2005, pp.663-670. (Pubitemid 43226358)
    • (2005) GECCO 2005 - Genetic and Evolutionary Computation Conference , pp. 663-670
    • Pelikan, M.1    Sastry, K.2    Goldberg, D.E.3
  • 70
    • 13244251628 scopus 로고    scopus 로고
    • Self-adaptation and global convergence: A counter-example
    • Washington, DC, USA, July 6-9
    • Rudolph G. Self-adaptation and global convergence: A counter-example. In Proc. The IEEE Congress on Evolutionary Computation (CEC1999), Washington, DC, USA, July 6-9, 1999, pp.646-651.
    • (1999) Proc. The IEEE Congress on Evolutionary Computation (CEC1999) , pp. 646-651
    • Rudolph, G.1
  • 71
    • 0035415529 scopus 로고    scopus 로고
    • Self-adaptive mutations may lead to premature convergence
    • DOI 10.1109/4235.942534, PII S1089778X01068412
    • Rudolph G. Self-adaptive mutations may lead to premature convergence. IEEE Transactions on Evolutionary Computation, 2001, 5(4): 410-414. (Pubitemid 32949969)
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.4 , pp. 410-414
    • Rudolph, G.1
  • 72
    • 79956125288 scopus 로고    scopus 로고
    • Helper-objective optimization strategies for the job-shop scheduling problem
    • Lochtefeld D F, Ciarallo F W. Helper-objective optimization strategies for the job-shop scheduling problem. Applied Soft Computing, 2011, 11(6): 4161-4174.
    • (2011) Applied Soft Computing , vol.11 , Issue.6 , pp. 4161-4174
    • Lochtefeld, D.F.1    Ciarallo, F.W.2
  • 73
    • 84931320658 scopus 로고    scopus 로고
    • Reducing Local Optima in Single-Objective Problems by Multi-objectivization
    • Evolutionary Multi-Criterion Optimization
    • Knowles J D, Watson R A, Corne D W. Reducing local optima in single-objective problems by multi-objectivization. In Proc. The 1st International Conference on Evolutionary Multi-Criterion Optimization (EMO2001), Zürich, Switzerland, March 7-9, 2001, pp.269-283. (Pubitemid 33241393)
    • (2001) Lecture Notes In Computer Science , Issue.1993 , pp. 269-283
    • Knowles, J.D.1    Watson, R.A.2    Corne, D.W.3
  • 74
    • 20944439075 scopus 로고    scopus 로고
    • Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation
    • Jensen M T. Helper-objectives: Using multi-objective evolutionary algorithms for single-objective optimisation. Journal of Mathematical Modelling and Algorithms, 2004, 3(4): 323-347. (Pubitemid 40317582)
    • (2004) Journal of Mathematical Modelling and Algorithms , vol.3 , Issue.4 , pp. 323-347
    • Jensen, M.T.1
  • 75
    • 72749107908 scopus 로고    scopus 로고
    • Evolutionary algorithms and multi-objectivization for the travelling salesman problem
    • Montréal, QC, Canada, July 8-12
    • Jähne M, Li X, Branke J. Evolutionary algorithms and multi-objectivization for the travelling salesman problem. In Proc. The 11th Annual Conference on Genetic and Evolutionary Computation, Montréal, QC, Canada, July 8-12, 2009, pp.595-602.
    • (2009) Proc. The 11th Annual Conference on Genetic and Evolutionary Computation , pp. 595-602
    • Jähne, M.1    Li, X.2    Branke, J.3
  • 76
    • 77955866878 scopus 로고    scopus 로고
    • Deterministic helper objective sequence applied to the job-shop scheduling problem
    • Portland, OR, USA, July 7-11
    • Lochtefeld D F, Ciarallo F W. Deterministic helper objective sequence applied to the job-shop scheduling problem. In Proc. The Genetic and Evolutionary Computation Conference, Portland, OR, USA, July 7-11, 2010, pp.431-438.
    • (2010) Proc. The Genetic and Evolutionary Computation Conference , pp. 431-438
    • Lochtefeld, D.F.1    Ciarallo, F.W.2
  • 77
    • 84861806490 scopus 로고    scopus 로고
    • Multiobjectivization via helper-objectives with the tunable objectives problem
    • Lochtefeld D F, Ciarallo F W. Multiobjectivization via helper-objectives with the tunable objectives problem. IEEE Transactions on Evolutionary Computation, 2011, 16(3): 373-390.
    • (2011) IEEE Transactions on Evolutionary Computation , vol.16 , Issue.3 , pp. 373-390
    • Lochtefeld, D.F.1    Ciarallo, F.W.2
  • 80
    • 0003827650 scopus 로고
    • Bad Cannstadt, Stuttgart Baden-Württemberg, Germany: Frommann-Holzboog Verlag
    • Rechenberg I. Evolutionsstrategie '94. Bad Cannstadt, Stuttgart, Baden-Württemberg, Germany: Frommann-Holzboog Verlag, 1994.
    • (1994) Evolutionsstrategie '94
    • Rechenberg, I.1
  • 83
    • 0000211184 scopus 로고
    • How learning can guide evolution
    • Hinton G E, Nowlan S J. How learning can guide evolution. Complex Systems, 1987, 1(3): 495-502.
    • (1987) Complex Systems , vol.1 , Issue.3 , pp. 495-502
    • Hinton, G.E.1    Nowlan, S.J.2
  • 84
    • 0242403739 scopus 로고    scopus 로고
    • Memetic algorithms using guided local search: A case study
    • Corne D W, Dorigo M, Glover F, Dasgupta D, Moscato P, Poli R, Price K V (eds.), Maidenhead, England: McGraw-Hill Ltd.
    • Holstein D, Moscato P. Memetic algorithms using guided local search: A case study. In New Ideas in Optimization, Corne D W, Dorigo M, Glover F, Dasgupta D, Moscato P, Poli R, Price K V (eds.), Maidenhead, England: McGraw-Hill Ltd., 1999, pp.235-244.
    • (1999) New Ideas in Optimization , pp. 235-244
    • Holstein, D.1    Moscato, P.2
  • 85
    • 0242655516 scopus 로고    scopus 로고
    • A gentle introduction to memetic algorithms
    • Glover F, Kochenberger G A (eds.), Norwell, MA, USA: Kluwer Academic Publishers and Springer Netherlands
    • Moscato P, Cotta C. A gentle introduction to memetic algorithms. In Handbook of Metaheuristics, Glover F, Kochenberger G A (eds.), Norwell, MA, USA: Kluwer Academic Publishers and Springer Netherlands, 2003, pp.105-144.
    • (2003) Handbook of Metaheuristics , pp. 105-144
    • Moscato, P.1    Cotta, C.2
  • 86
    • 84978316287 scopus 로고
    • Formal memetic algorithms
    • Fogarty T C (ed.), Springer-Verlag
    • Radcliffe N J, Surry P D. Formal memetic algorithms. In Lecture Notes in Computer Science 865, Fogarty T C (ed.), Springer-Verlag, 1994, pp.1-16.
    • (1994) Lecture Notes in Computer Science , vol.865 , pp. 1-16
    • Radcliffe, N.J.1    Surry, P.D.2
  • 87
    • 0002091030 scopus 로고
    • How genetic algorithms really work - I. Mutation and hillclimbing
    • Brussels, Belgium, September 28-30
    • Mühlenbein H. How genetic algorithms really work - I. mutation and hillclimbing. In Proc. The Parallel Problem Solving from Nature 2 (PPSN II), Brussels, Belgium, September 28-30, 1992, pp.15-26.
    • (1992) Proc. The Parallel Problem Solving from Nature 2 (PPSN II) , pp. 15-26
    • Mühlenbein, H.1
  • 88
    • 0003849948 scopus 로고
    • Stamford, CT, USA: Thomson Publishing Group, Inc.
    • Davis L (ed.). Handbook of Genetic Algorithms. Stamford, CT, USA: Thomson Publishing Group, Inc., 1991.
    • (1991) Handbook of Genetic Algorithms
    • Davis, L.1
  • 89
    • 0000556347 scopus 로고
    • Adding learning to the cellular development of neural networks: Evolution and the baldwin effect
    • Gruau F, Whitley L D. Adding learning to the cellular development of neural networks: Evolution and the baldwin effect. Evolutionary Computation, 1993, 1(3): 213-233.
    • (1993) Evolutionary Computation , vol.1 , Issue.3 , pp. 213-233
    • Gruau, F.1    Whitley, L.D.2
  • 91
    • 77950298367 scopus 로고    scopus 로고
    • Estimation of distribution and differential evolution cooperation for large scale economic load dispatch optimization of power systems
    • Wang Y, Li B, Weise T. Estimation of distribution and differential evolution cooperation for large scale economic load dispatch optimization of power systems. Information Sciences - Informatics and Computer Science Intelligent Systems Applications, 2010, 180(12): 2405-2420.
    • (2010) Information Sciences - Informatics and Computer Science Intelligent Systems Applications , vol.180 , Issue.12 , pp. 2405-2420
    • Wang, Y.1    Li, B.2    Weise, T.3
  • 92
    • 84859728298 scopus 로고    scopus 로고
    • Evolving distributed algorithms with genetic programming
    • Weise T, Tang K. Evolving distributed algorithms with genetic programming. IEEE Transactions on Evolutionary Computation, 2011, 16(2): 242-265.
    • (2011) IEEE Transactions on Evolutionary Computation , vol.16 , Issue.2 , pp. 242-265
    • Weise, T.1    Tang, K.2
  • 94
    • 0000473160 scopus 로고
    • Genetic algorithms and walsh functions: Part i, a gentle introduction
    • Goldberg D E. Genetic algorithms and walsh functions: Part i, a gentle introduction. Complex Systems, 1989, 3(2): 129-152.
    • (1989) Complex Systems , vol.3 , Issue.2 , pp. 129-152
    • Goldberg, D.E.1
  • 95
    • 0000473160 scopus 로고
    • Genetic algorithms and walsh functions: Part ii, deception and its analysis
    • Goldberg D E. Genetic algorithms and walsh functions: Part ii, deception and its analysis. Complex Systems, 1989, 3(2): 153-171.
    • (1989) Complex Systems , vol.3 , Issue.2 , pp. 153-171
    • Goldberg, D.E.1
  • 98
    • 0033666678 scopus 로고    scopus 로고
    • Using multiple representations in evolutionary algorithms
    • La Jolla, CA, USA, July 16-19
    • Schnier T, Yao X. Using multiple representations in evolutionary algorithms. In Proc. The IEEE Congress on Evolutionary Computation, La Jolla, CA, USA, July 16-19, 2000, pp.479-486.
    • (2000) Proc. The IEEE Congress on Evolutionary Computation , pp. 479-486
    • Schnier, T.1    Yao, X.2
  • 99
    • 76149127651 scopus 로고    scopus 로고
    • Niching without niching parameters: Particle swarm optimization using a ring topology
    • Li X. Niching without niching parameters: Particle swarm optimization using a ring topology. IEEE Transactions on Evolutionary Computation, 2010, 14(1): 150-169.
    • (2010) IEEE Transactions on Evolutionary Computation , vol.14 , Issue.1 , pp. 150-169
    • Li, X.1
  • 100
    • 84897557400 scopus 로고    scopus 로고
    • Fitness uniform selection to preserve genetic diversity
    • Honolulu, HI, USA, May 12-17
    • Hutter M. Fitness uniform selection to preserve genetic diversity. In Proc. The IEEE Congress on Evolutionary Computation, Honolulu, HI, USA, May 12-17, 2002, pp.783-788.
    • (2002) Proc. The IEEE Congress on Evolutionary Computation , pp. 783-788
    • Hutter, M.1
  • 102
    • 84874610503 scopus 로고    scopus 로고
    • Exploiting open-endedness to solve problems through the search for novelty
    • Winchester, Hampshire, UK, August 5-8
    • Lehman J, Stanley K O. Exploiting open-endedness to solve problems through the search for novelty. In Proc. The 11th International Conference on Artificial Life, Winchester, Hampshire, UK, August 5-8, 2008, pp.329-336.
    • (2008) Proc. The 11th International Conference on Artificial Life , pp. 329-336
    • Lehman, J.1    Stanley, K.O.2
  • 103
    • 79957482984 scopus 로고    scopus 로고
    • Abandoning objectives: Evolution through the search for novelty alone
    • Lehman J, Stanley K O. Abandoning objectives: Evolution through the search for novelty alone. Evolutionary Computation, 2011, 19(2): 189-223.
    • (2011) Evolutionary Computation , vol.19 , Issue.2 , pp. 189-223
    • Lehman, J.1    Stanley, K.O.2
  • 104
    • 84860404192 scopus 로고    scopus 로고
    • Evolving a diversity of virtual creatures through novelty search and local competition
    • Dublin, Ireland, July 12-16
    • Lehman J, Stanley K O. Evolving a diversity of virtual creatures through novelty search and local competition. In Proc. The Genetic and Evolutionary Computation Conference, Dublin, Ireland, July 12-16, 2011, pp.211-218.
    • (2011) Proc. The Genetic and Evolutionary Computation Conference , pp. 211-218
    • Lehman, J.1    Stanley, K.O.2
  • 107
    • 0006185167 scopus 로고    scopus 로고
    • Neutrality in fitness landscapes
    • DOI 10.1016/S0096-3003(99)00166-6, PII S0096300399001666
    • Reidys C M, Stadler P F. Neutrality in fitness landscapes. Journal of Applied Mathematics and Computation, 2001, 117(2-3): 321-350. (Pubitemid 33592839)
    • (2001) Applied Mathematics and Computation , vol.117 , Issue.2-3 , pp. 321-350
    • Reidys, C.M.1    Stadler, P.F.2
  • 108
    • 0002084307 scopus 로고    scopus 로고
    • Ruggedness and neutrality - The NKP family of fitness landscapes
    • Los Angeles, CA, USA, June 27-29
    • Barnett L. Ruggedness and neutrality - the NKP family of fitness landscapes. In Proc. The 6th International Conference on Artificial Life, Los Angeles, CA, USA, June 27-29, 1998, pp.18-27.
    • (1998) Proc. The 6th International Conference on Artificial Life , pp. 18-27
    • Barnett, L.1
  • 109
    • 84859120806 scopus 로고    scopus 로고
    • Evolvability and speed of evolutionary algorithms in the light of recent developments in biology
    • January
    • Hu T, Banzhaf W. Evolvability and speed of evolutionary algorithms in the light of recent developments in biology. Journal of Artificial Evolution and Applications, 2010, January, Article No.1.
    • (2010) Journal of Artificial Evolution and Applications , pp. 1
    • Hu, T.1    Banzhaf, W.2
  • 110
    • 14844325784 scopus 로고    scopus 로고
    • Robustness, evolvability, and neutrality
    • DOI 10.1016/j.febslet.2005.01.063, Systems Biology
    • Wagner A. Robustness, evolvability, and neutrality. FEBS Letters, 2005, 579(8): 1772-1778. (Pubitemid 40342652)
    • (2005) FEBS Letters , vol.579 , Issue.8 , pp. 1772-1778
    • Wagner, A.1
  • 112
    • 0000031372 scopus 로고
    • Toward a theory of evolution strategies: The (μ, λ)-theory
    • Beyer H. Toward a theory of evolution strategies: The (μ, λ)-theory. Evolutionary Computation, 1994, 2(4): 381-407.
    • (1994) Evolutionary Computation , vol.2 , Issue.4 , pp. 381-407
    • Beyer, H.1
  • 113
    • 0346659780 scopus 로고    scopus 로고
    • Fitness distance correlation analysis: An instructive counterexample
    • East Lansing, MI, USA, July 19-23
    • Altenberg L. Fitness distance correlation analysis: An instructive counterexample. In Proc. The 7th International Conference on Genetic Algorithms (ICGA1997), East Lansing, MI, USA, July 19-23, 1997, pp.57-64.
    • (1997) Proc. The 7th International Conference on Genetic Algorithms (ICGA1997) , pp. 57-64
    • Altenberg, L.1
  • 115
    • 38049063085 scopus 로고    scopus 로고
    • Program evolvability under environmental variations and neutrality
    • Lisbon, Portugal, September 10-14
    • Yu G T. Program evolvability under environmental variations and neutrality. In Proc. The 9th European Conference on Advances in Artificial Life (ECAL2007), Lisbon, Portugal, September 10-14, 2007, pp.835-844.
    • (2007) Proc. The 9th European Conference on Advances in Artificial Life (ECAL2007) , pp. 835-844
    • Yu, G.T.1
  • 116
    • 33750262363 scopus 로고    scopus 로고
    • Deceptiveness and neutrality the ND family of fitness landscapes
    • GECCO 2006 - Genetic and Evolutionary Computation Conference
    • Beaudoin W, Vérel S, Collard P, Escazut C. Deceptiveness and neutrality the ND family of fitness landscapes. In Proc. The 8th Annual Conference on Genetic and Evolutionary Computation, Seattle, USA, July 8-12, 2006, pp.507-514. (Pubitemid 44611364)
    • (2006) GECCO 2006 - Genetic and Evolutionary Computation Conference , vol.1 , pp. 507-514
    • Beaudoin, W.1    Verel, S.2    Collard, P.3    Escazut, C.4
  • 119
    • 0027790582 scopus 로고
    • Punctuated equilibrium comes of age
    • DOI 10.1038/366223a0
    • Gould S J, Eldredge N. Punctuated equilibrium comes of age. Nature, 1993, 366(6452): 223-227. (Pubitemid 24410249)
    • (1993) Nature , vol.366 , Issue.6452 , pp. 223-227
    • Gould, S.J.1    Eldredge, N.2
  • 120
    • 0001938575 scopus 로고    scopus 로고
    • Statistical Dynamics of the Royal Road Genetic Algorithm
    • PII S030439759900119X
    • van Nimwegen E, Crutchfield J P, Mitchell M. Statistical dynamics of the royal road genetic algorithm. Theoretical Computer Science, 1999, 229(1-2): 41-102. (Pubitemid 129609176)
    • (1999) Theoretical Computer Science , vol.229 , Issue.1-2 , pp. 41-102
    • Van Nimwegen, E.1    Crutchfield, J.P.2    Mitchell, M.3
  • 122
    • 0000643297 scopus 로고    scopus 로고
    • Island (migration) models: Evolutionary algorithms based on punctuated equilibria
    • Bäck T, Fogel D B, Michalewicz Z (eds.), New York, USA: Oxford University Press, Inc., Institute of Physics Publishing Ltd. (IOP), and CRC Press, Inc.
    • Martin W N, Lienig J, Cohoon J P. Island (migration) models: Evolutionary algorithms based on punctuated equilibria. In Handbook of Evolutionary Computation, Bäck T, Fogel D B, Michalewicz Z (eds.), New York, USA: Oxford University Press, Inc., Institute of Physics Publishing Ltd. (IOP), and CRC Press, Inc., 1997, pp.448-463.
    • (1997) Handbook of Evolutionary Computation , pp. 448-463
    • Martin, W.N.1    Lienig, J.2    Cohoon, J.P.3
  • 129
    • 0033672375 scopus 로고    scopus 로고
    • An investigation of redundant genotype-phenotype mappings and their role in evolutionary search
    • La Jolla, USA, July 16-19
    • Shackleton M, Shipman R, Ebner M. An investigation of redundant genotype-phenotype mappings and their role in evolutionary search. In Proc. The IEEE Congress on Evolutionary Computation, La Jolla, USA, July 16-19, 2000, pp.493-500.
    • (2000) Proc. The IEEE Congress on Evolutionary Computation , pp. 493-500
    • Shackleton, M.1    Shipman, R.2    Ebner, M.3
  • 133
    • 2942618553 scopus 로고
    • Making genetic algorithm fly: A lesson from the wright brothers
    • Goldberg D E. Making genetic algorithm fly: A lesson from the wright brothers. Advanced Technology for Developers, 1993, 2: 1-8.
    • (1993) Advanced Technology for Developers , vol.2 , pp. 1-8
    • Goldberg, D.E.1
  • 137
    • 0031827525 scopus 로고    scopus 로고
    • The language of gene interaction
    • Phillips P C. The language of gene interaction. Genetics, 1998, 149(3): 1167-1171. (Pubitemid 28334514)
    • (1998) Genetics , vol.149 , Issue.3 , pp. 1167-1171
    • Phillips, P.C.1
  • 138
    • 57349097524 scopus 로고
    • Progeny test and individual performance as indicators of an animal's breeding value
    • Lush J L. Progeny test and individual performance as indicators of an animal's breeding value. Journal of Dairy Science, 1935, 18(1): 1-19.
    • (1935) Journal of Dairy Science , vol.18 , Issue.1 , pp. 1-19
    • Lush, J.L.1
  • 139
  • 140
    • 0038763997 scopus 로고    scopus 로고
    • Nk fitness landscapes
    • Bäck T, Fogel D B, Michalewicz Z (eds.), New York, USA: Oxford University Press, Inc., Institute of Physics Publishing Ltd. (IOP), and CRC Press, Inc., chapter B2.7.2
    • Altenberg L. Nk fitness landscapes. In Handbook of Evolutionary Computation, Bäck T, Fogel D B, Michalewicz Z (eds.), New York, USA: Oxford University Press, Inc., Institute of Physics Publishing Ltd. (IOP), and CRC Press, Inc., 1997, chapter B2.7.2.
    • (1997) Handbook of Evolutionary Computation
    • Altenberg, L.1
  • 145
    • 34548073895 scopus 로고    scopus 로고
    • Differential evolution and non-separability: Using selective pressure to focus search
    • DOI 10.1145/1276958.1277221, Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference
    • Sutton A M, Lunacek M, Whitley L D. Differential evolution and non-separability: Using selective pressure to focus search. In Proc. The 9th Genetic and Evolutionary Computation Conference, London, UK, July 7-11, 2007, pp.1428-1435. (Pubitemid 47291712)
    • (2007) Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference , pp. 1428-1435
    • Sutton, A.M.1    Lunacek, M.2    Whitley, L.D.3
  • 146
    • 33645974529 scopus 로고    scopus 로고
    • Simulating evolution with a computational model of embryogeny: Obtaining robustness from evolved individuals
    • Canterbury, Kent, UK, September 5-9
    • Bowers C P. Simulating evolution with a computational model of embryogeny: Obtaining robustness from evolved individuals. In Proc. The 8th European Conference on Advances in Artificial Life, Canterbury, Kent, UK, September 5-9, 2005, pp.149-158.
    • (2005) Proc. The 8th European Conference on Advances in Artificial Life , pp. 149-158
    • Bowers, C.P.1
  • 149
    • 0012573098 scopus 로고    scopus 로고
    • (1st edition). Oxford, UK: BIOS Scientific Publishers Ltd., Taylor and Francis LLC, Science Press
    • Winter P C, Hickey G I, Fletcher H L. Instant Notes in Genetics (1st edition). Oxford, UK: BIOS Scientific Publishers Ltd., Taylor and Francis LLC, Science Press, 1998.
    • (1998) Instant Notes in Genetics
    • Winter, P.C.1    Hickey, G.I.2    Fletcher, H.L.3
  • 150
    • 0033257616 scopus 로고    scopus 로고
    • Linkage identification by non-monotonicity detection for overlapping functions
    • Munetomo M, Goldberg D E. Linkage identification by non-monotonicity detection for overlapping functions. Evolutionary Computation, 1999, 7(4): 377-398.
    • (1999) Evolutionary Computation , vol.7 , Issue.4 , pp. 377-398
    • Munetomo, M.1    Goldberg, D.E.2
  • 152
    • 33750254292 scopus 로고    scopus 로고
    • Multi-objective test problems, linkages, and evolutionary methodologies
    • GECCO 2006 - Genetic and Evolutionary Computation Conference
    • Deb K, Sinha A, Kukkonen S. Multi-objective test problems, linkages, and evolutionary methodologies. In Proc. The 8th Annual Conference on Genetic and Evolutionary Computation, Seattle, WA, USA, July 8-12, 2006, pp.1141-1148. (Pubitemid 44611445)
    • (2006) GECCO 2006 - Genetic and Evolutionary Computation Conference , vol.2 , pp. 1141-1148
    • Deb, K.1    Sinha, A.2    Kukkonen, S.3
  • 153
    • 0000904077 scopus 로고
    • Messy genetic algorithms: Motivation, analysis, and first results
    • Goldberg D E, Deb K, Korb B. Messy genetic algorithms: Motivation, analysis, and first results. Complex Systems, 1989, 3(5): 493-530.
    • (1989) Complex Systems , vol.3 , Issue.5 , pp. 493-530
    • Goldberg, D.E.1    Deb, K.2    Korb, B.3
  • 154
    • 0034276591 scopus 로고    scopus 로고
    • Linkage problem, distribution estimation, and bayesian networks
    • Cantú-Paz E, Pelikan M, Goldberg D E. Linkage problem, distribution estimation, and bayesian networks. Evolutionary Computation, 2000, 8(3): 311-340.
    • (2000) Evolutionary Computation , vol.8 , Issue.3 , pp. 311-340
    • Cantú-Paz, E.1    Pelikan, M.2    Goldberg, D.E.3
  • 156
  • 157
    • 0034153728 scopus 로고    scopus 로고
    • Cooperative coevolution: An architecture for evolving coadapted subcomponents
    • Potter M A, De Jong K A. Cooperative coevolution: An architecture for evolving coadapted subcomponents. Evolutionary Computation, 2000, 8(1): 1-29.
    • (2000) Evolutionary Computation , vol.8 , Issue.1 , pp. 1-29
    • Potter, M.A.1    De Jong, K.A.2
  • 158
    • 21044438483 scopus 로고    scopus 로고
    • Evolutionary optimization in uncertain environments - A survey
    • DOI 10.1109/TEVC.2005.846356
    • Jin Y, Branke J. Evolutionary optimization in uncertain environments - A survey. IEEE Transactions on Evolutionary Computation, 2005, 9(3): 303-317. (Pubitemid 40871134)
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.3 , pp. 303-317
    • Jin, Y.1    Branke, J.2
  • 160
    • 21444438033 scopus 로고    scopus 로고
    • Genetic algorithms, selection schemes, and the varying effects of noise
    • Miller B L, Goldberg D E. Genetic algorithms, selection schemes, and the varying effects of noise. Evolutionary Computation, 1996, 4(2): 113-131. (Pubitemid 126706153)
    • (1996) Evolutionary Computation , vol.4 , Issue.2 , pp. 113-131
    • Miller, B.L.1    Goldberg, D.E.2
  • 161
    • 65749089927 scopus 로고
    • The effect of function noise on GP efficiency
    • Goos G, Hartmanis J, van Leeuwen (eds.)
    • Lee J Y, Wong P C. The effect of function noise on GP efficiency. In Lecture Notes in Computer Science 956, Goos G, Hartmanis J, van Leeuwen (eds.), 1993, pp.1-16.
    • (1993) Lecture Notes in Computer Science , vol.956 , pp. 1-16
    • Lee, J.Y.1    Wong, P.C.2
  • 162
    • 0000250677 scopus 로고    scopus 로고
    • Genetic algorithms in noisy environments
    • Fitzpatrick J M, Grefenstette J J. Genetic algorithms in noisy environments. Machine Learning, 1998, 3(2-3): 101-120.
    • (1998) Machine Learning , vol.3 , Issue.2-3 , pp. 101-120
    • Fitzpatrick, J.M.1    Grefenstette, J.J.2
  • 163
    • 84901442936 scopus 로고    scopus 로고
    • Optimization of noisy fitness functions by means of genetic algorithms using history of search with test of estimation
    • Honolulu, USA, May 12-17
    • Sano Y, Kita H. Optimization of noisy fitness functions by means of genetic algorithms using history of search with test of estimation. In Proc. The IEEE Congress on Evolutionary Computation, Honolulu, USA, May 12-17, 2002, pp.360-365.
    • (2002) Proc. The IEEE Congress on Evolutionary Computation , pp. 360-365
    • Sano, Y.1    Kita, H.2
  • 165
    • 85027497157 scopus 로고
    • Evolution strategies on noisy functions: How to improve convergence properties
    • Jerusalem, Israel, October 9-14
    • Hammel U, Bäck T. Evolution strategies on noisy functions: How to improve convergence properties. In Proc. The 3rd Conference on Parallel Problem Solving from Nature, Jerusalem, Israel, October 9-14, 1994, pp.159-168.
    • (1994) Proc. The 3rd Conference on Parallel Problem Solving from Nature , pp. 159-168
    • Hammel, U.1    Bäck, T.2
  • 166
    • 33750481534 scopus 로고    scopus 로고
    • Particle swarm optimization for function optimization in noisy environment
    • DOI 10.1016/j.amc.2006.01.066, PII S0096300306001718
    • Pan H, Wang L, Liu B. Particle swarm optimization for function optimization in noisy environment. Journal of Applied Mathematics and Computation, 2006, 181(2): 908-919. (Pubitemid 44646568)
    • (2006) Applied Mathematics and Computation , vol.181 , Issue.2 , pp. 908-919
    • Pan, H.1    Wang, L.2    Liu, B.3
  • 167
    • 84878607496 scopus 로고    scopus 로고
    • Creating Robust Solutions by Means of Evolutionary Algorithms
    • Parallel Problems Solving from Nature - PPSN V
    • Branke J. Creating robust solutions by means of evolutionary algorithms. In Proc. The 5th International Conference on Parallel Problem Solving from Nature, Amsterdam, The Netherlands, September 27-30, 1998, pp.119-128. (Pubitemid 128145943)
    • (1998) Lecture Notes In Computer Science , Issue.1498 , pp. 119-128
    • Branke, J.1
  • 169
    • 0000794948 scopus 로고    scopus 로고
    • Robust optical coating design with evolutionary strategies
    • Greiner H. Robust optical coating design with evolutionary strategies. Applied Optics, 1996, 35(28): 5477-5483. (Pubitemid 126627790)
    • (1996) Applied Optics , vol.35 , Issue.28 , pp. 5477-5483
    • Greiner, H.1
  • 170
    • 0032208276 scopus 로고    scopus 로고
    • Robust design of multilayer optical coatings by means of evolutionary algorithms
    • PII S1089778X98094752
    • Wiesmann D, Hammel U, Bäck T. Robust design of multilayer optical coatings by means of evolutionary algorithms. IEEE Trans. Evolutionary Computation, 1998, 2(4): 162-167. (Pubitemid 128748412)
    • (1998) IEEE Transactions on Evolutionary Computation , vol.2 , Issue.4 , pp. 162-167
    • Wiesmann, D.1    Hammel, U.2    Back, T.3
  • 171
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multiobjective evolutionary algorithms: Empirical results
    • Zitzler E, Deb K, Thiele L. Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation, 2000, 8(2): 173-195.
    • (2000) Evolutionary Computation , vol.8 , Issue.2 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3
  • 173
    • 0031704184 scopus 로고    scopus 로고
    • On a multi-objective evolutionary algorithm and its convergence to the pareto set
    • Anchorage, AK, USA, May 4-9, 1998
    • Rudolph G. On a multi-objective evolutionary algorithm and its convergence to the pareto set. In Proc. The 1998 IEEE International Conference on Evolutionary Computation, Anchorage, AK, USA, May 4-9, 1998, pp.511-515.
    • Proc. The 1998 IEEE International Conference on Evolutionary Computation , pp. 511-515
    • Rudolph, G.1
  • 178
    • 24344470016 scopus 로고    scopus 로고
    • [Ph.D. Thesis]. Department of Automatic Control and Systems Engineering, University of Sheffield
    • Purshouse R C. On the evolutionary optimisation of many objectives [Ph.D. Thesis]. Department of Automatic Control and Systems Engineering, University of Sheffield, 2003.
    • (2003) On the Evolutionary Optimisation of Many Objectives
    • Purshouse, R.C.1
  • 180
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • DOI 10.1109/4235.996017, PII S1089778X02041012
    • Deb K, Pratab A, Agrawal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm: Nsga-ii. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197. (Pubitemid 34555372)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.2 , pp. 182-197
    • Deb, K.1    Pratap, A.2    Agarwal, S.3    Meyarivan, T.4
  • 182
    • 27144473875 scopus 로고    scopus 로고
    • Evolutionary many-objective optimisation: Many once or one many?
    • 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
    • Hughes E J. Evolutionary many-objective optimisation: Many once or one many? In Proc. The IEEE Congress on Evolutionary Computation (CEC2005), Edinburgh, Scotland, UK, September 2-5, 2005, pp.222-227. (Pubitemid 41495859)
    • (2005) 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings , vol.1 , pp. 222-227
    • Hughes, E.J.1
  • 184
    • 34547301244 scopus 로고    scopus 로고
    • Comparison between single-objective and multi-objective genetic algorithms: Performance comparison and performance measures
    • Vancouver, BC, Canada, July 16-21
    • Ishibuchi H, Nojima Y, Doi T. Comparison between single-objective and multi-objective genetic algorithms: Performance comparison and performance measures. In Proc. The IEEE Congress on Evolutionary Computation (CEC2006), Vancouver, BC, Canada, July 16-21, 2006, pp.3959-3966.
    • (2006) Proc. The IEEE Congress on Evolutionary Computation (CEC2006) , pp. 3959-3966
    • Ishibuchi, H.1    Nojima, Y.2    Doi, T.3
  • 188
    • 39749093168 scopus 로고
    • The magical number seven, plus or minus two: Some limits on our capacity for processing information
    • Miller G A. The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 1956, 63(2): 81-97.
    • (1956) Psychological Review , vol.63 , Issue.2 , pp. 81-97
    • Miller, G.A.1
  • 195
    • 84931462371 scopus 로고    scopus 로고
    • Multi-objective Optimisation Based on Relation Favour
    • Evolutionary Multi-Criterion Optimization
    • Drechsler N, Drechsler R, Becker B. Multi-objective optimisation based on relation favour. In Proc. The 1st International Conference on Evolutionary Multi-Criterion Optimization (EMO2001), Zürich, Switzerland, March 7-9, 2001, pp.154-166. (Pubitemid 33241385)
    • (2001) Lecture Notes In Computer Science , Issue.1993 , pp. 154-166
    • Drechsler, N.1    Drechsler, R.2    Becker, B.3
  • 197
    • 34548137363 scopus 로고    scopus 로고
    • Techniques for highly multiobjective optimisation: Some nondominated points are better than others
    • DOI 10.1145/1276958.1277115, Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference
    • Corne D W, Knowles J D. Techniques for highly multiobjective optimisation: Some nondominated points are better than others. In Proc. The 9th Genetic and Evolutionary Computation Conference, London, UK, July 7-11, 2007, pp.773-780. (Pubitemid 47296800)
    • (2007) Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference , pp. 773-780
    • Corne, D.W.1    Knowles, J.D.2
  • 198
    • 50149094929 scopus 로고    scopus 로고
    • Ranking-dominance and many-objective optimization
    • DOI 10.1109/CEC.2007.4424990, 4424990, 2007 IEEE Congress on Evolutionary Computation, CEC 2007
    • Kukkonen S, Lampinen J A. Ranking-dominance and many-objective optimization. In Proc. The IEEE Congress on Evolutionary Computation (CEC2007), Singapore, September 25-28, 2007, pp.3983-3990. (Pubitemid 351371917)
    • (2008) 2007 IEEE Congress on Evolutionary Computation, CEC 2007 , pp. 3983-3990
    • Kukkonen, S.1    Lampinen, J.2
  • 203
    • 79955353433 scopus 로고    scopus 로고
    • MSOPS-II: A general-purpose many-objective optimiser
    • DOI 10.1109/CEC.2007.4424985, 4424985, 2007 IEEE Congress on Evolutionary Computation, CEC 2007
    • Hughes E J. MSOPS-II: A general-purpose many-objective optimiser. In Proc. The IEEE Congress on Evolutionary Computation, Singapore, September 25-28, 2007, pp.3944-3951. (Pubitemid 351371912)
    • (2008) 2007 IEEE Congress on Evolutionary Computation, CEC 2007 , pp. 3944-3951
    • Hughes, E.J.1
  • 204
    • 24344444451 scopus 로고    scopus 로고
    • Many-objective optimization: An engineering design perspective
    • Evolutionary Multi-Criterion Optimization - Third International Conference, EMO 2005
    • Fleming P J, Purshouse R C, Lygoe R J. Many-objective optimization: An engineering design perspective. In Proc. The 3rd International Conference on Evolutionary Multi-Criterion Optimization, Guanajuato, México, March 9-11, 2005, pp.14-32. (Pubitemid 41251753)
    • (2005) Lecture Notes in Computer Science , vol.3410 , pp. 14-32
    • Fleming, P.J.1    Purshouse, R.C.2    Lygoe, R.J.3
  • 205
    • 33750253048 scopus 로고    scopus 로고
    • Reference point based multi-objective optimization using evolutionary algorithms
    • GECCO 2006 - Genetic and Evolutionary Computation Conference
    • Deb K, Sundar J. Reference point based multi-objective optimization using evolutionary algorithms. In Proc. The 8th Annual Conference on Genetic and Evolutionary Computation, Seattle, WA, USA, July 8-12, 2006, pp.635-642. (Pubitemid 44611383)
    • (2006) GECCO 2006 - Genetic and Evolutionary Computation Conference , vol.1 , pp. 635-642
    • Deb, K.1    Sundar, J.2
  • 207
    • 55749098262 scopus 로고    scopus 로고
    • Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective
    • Hong Kong, China, June 1-6
    • Saxena D K, Deb K. Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. In Proc. The IEEE Congress on Evolutionary Computation (CEC2008), Hong Kong, China, June 1-6, 2008, pp.3204-3211.
    • (2008) Proc. The IEEE Congress on Evolutionary Computation (CEC2008) , pp. 3204-3211
    • Saxena, D.K.1    Deb, K.2
  • 208
    • 79955224474 scopus 로고    scopus 로고
    • Improving hypervolume-based multi-objective evolutionary algorithms by using objective reduction methods
    • Singapore, September 25-28
    • Brockhoff D, Zitzler E. Improving hypervolume-based multi-objective evolutionary algorithms by using objective reduction methods. In Proc. The IEEE Congress on Evolutionary Computation (CEC2007), Singapore, September 25-28, 2007, pp.2086-2093.
    • (2007) Proc. The IEEE Congress on Evolutionary Computation (CEC2007) , pp. 2086-2093
    • Brockhoff, D.1    Zitzler, E.2
  • 210
    • 47149114757 scopus 로고    scopus 로고
    • Visualization of pareto-sets in evolutionary multi-objective optimization
    • Kaiserslautern, Germany, September 17-19
    • Köppen M, Yoshida K. Visualization of pareto-sets in evolutionary multi-objective optimization. In Proc. The 7th International Conference on Hybrid Intelligent Systems, Kaiserslautern, Germany, September 17-19, 2007, pp.156-161.
    • (2007) Proc. The 7th International Conference on Hybrid Intelligent Systems , pp. 156-161
    • Köppen, M.1    Yoshida, K.2
  • 211
    • 0003787146 scopus 로고
    • Princeton, NJ: USA: Princeton University Press
    • Bellman R E. Dynamic Programming. Princeton, NJ, USA: Princeton University Press, 1957.
    • (1957) Dynamic Programming
    • Bellman, R.E.1
  • 214
    • 85060036181 scopus 로고
    • Validity of the single processor approach to achieving large-scale computing capabilities
    • Atlantic City, NJ, USA, April 18-20
    • Amdahl G M. Validity of the single processor approach to achieving large-scale computing capabilities. In Proc. The Spring Joint Computer Conference (AFIPS), Atlantic City, NJ, USA, April 18-20, 1967, pp.483-485.
    • (1967) Proc. The Spring Joint Computer Conference (AFIPS) , pp. 483-485
    • Amdahl, G.M.1
  • 217
    • 84957871158 scopus 로고    scopus 로고
    • A Survey of Parallel Distributed Genetic Algorithms
    • DOI 10.1002/(SICI)1099-0526(199903/04)4:4<31::AID-CPLX5>3.0.CO;2-4
    • Alba Torres E, Troya J M. A survey of parallel distributed genetic algorithms. Complexity, 1999, 4(4): 31-52. (Pubitemid 129210589)
    • (1999) Complexity , vol.4 , Issue.4 , pp. 31-52
    • Alba, E.1    Troya, J.M.2
  • 218
    • 0036808672 scopus 로고    scopus 로고
    • Parallelism and evolutionary algorithms
    • DOI 10.1109/TEVC.2002.800880
    • Alba Torres E, Tomassini M. Parallelism and evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 2002, 6(5): 443-462. (Pubitemid 35327563)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.5 , pp. 443-462
    • Alba, E.1    Tomassini, M.2
  • 219
    • 47249146328 scopus 로고    scopus 로고
    • DGPF - An adaptable framework for distributed multi-objective search algorithms applied to the genetic programming of sensor networks
    • Ljubljana, Slovenia, October 9-10
    • Weise T, Geihs K. DGPF - An adaptable framework for distributed multi-objective search algorithms applied to the genetic programming of sensor networks. In Proc. The 2nd International Conference on Bioinspired Optimization Methods and their Applications (BIOMA2006), Ljubljana, Slovenia, October 9-10, 2006, pp.157-166.
    • (2006) Proc. The 2nd International Conference on Bioinspired Optimization Methods and Their Applications (BIOMA2006) , pp. 157-166
    • Weise, T.1    Geihs, K.2
  • 222
    • 78751612614 scopus 로고    scopus 로고
    • Nonlinear optimization with a massively parallel evolution strategy-pattern search algorithm on graphics hardware
    • Zhu W. Nonlinear optimization with a massively parallel evolution strategy-pattern search algorithm on graphics hardware. Applied Soft Computing, 2011, 11(2): 1770-1781.
    • (2011) Applied Soft Computing , vol.11 , Issue.2 , pp. 1770-1781
    • Zhu, W.1
  • 226
    • 79953141139 scopus 로고    scopus 로고
    • [Ph.D. Thesis]. Centre de Recherche Saclay - Île-de-France, Ecole Doctorale d'Informatique and Institut National de Recherche en Informatique et en Automatique, Université Paris-Sud
    • Devert A. Building processes optimization: Toward an artificial ontogeny based approach [Ph.D. Thesis]. Centre de Recherche Saclay - Île-de-France, Ecole Doctorale d'Informatique and Institut National de Recherche en Informatique et en Automatique, Université Paris-Sud, 2009.
    • (2009) Building Processes Optimization: Toward An Artificial Ontogeny Based Approach
    • Devert, A.1
  • 232
    • 74849100093 scopus 로고    scopus 로고
    • Continuous lunches are free plus the design of optimal optimization algorithms
    • Auger A, Teytaud O. Continuous lunches are free plus the design of optimal optimization algorithms. Algorithmica, 2010, 57(1): 121-146.
    • (2010) Algorithmica , vol.57 , Issue.1 , pp. 121-146
    • Auger, A.1    Teytaud, O.2


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