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Volumn 43, Issue 7, 2012, Pages 1217-1247

A data mining approach to evolutionary optimisation of noisy multi-objective problems

Author keywords

data mining; evolutionary computations; multi objective optimisation; noise

Indexed keywords

AGGREGATED INFORMATION; CROSSOVER OPERATOR; DECISION SPACE; EVOLUTIONARY OPTIMISATION; EVOLUTIONARY OPTIMISERS; FASTER CONVERGENCE; MULTI-MODALITY; MULTI-OBJECTIVE PROBLEM; NOISE; NOISE-TOLERANT; NONCONVEXITY; OBJECTIVE FUNCTIONS; OPTIMAL REGIONS; OPTIMISATIONS; PARETO FRONT; PARETO SET;

EID: 84861827632     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207721.2011.618645     Document Type: Article
Times cited : (15)

References (74)
  • 3
  • 4
    • 0002856395 scopus 로고
    • Scheduling of genetic algorithms in a noisy environment
    • Aizawa, A.N., and Wah, B.W. (1994), 'Scheduling of Genetic Algorithms in a Noisy Environment', Evolutionary Computation, 2, 97-122.
    • (1994) Evolutionary Computation , vol.2 , pp. 97-122
    • Aizawa, A.N.1    Wah, B.W.2
  • 5
    • 35048854151 scopus 로고    scopus 로고
    • On the effects of outliers on evolutionary optimization
    • Intelligent Data Engineering and Automated Learning
    • Arnold, D.V., and Beger, H.G. (2003), 'On the Effects of Outliers on Evolutionary Optimization', in Intelligent Data Engineering and Automated Learning, Ser. LNCS, eds. J. Liu, Y. Cheung, and H. Yin, Berlin, Germany: Springer-Verlag, pp. 151-160. (Pubitemid 36996084)
    • (2003) Lecture Notes in Computer Science , Issue.2690 , pp. 151-160
    • Arnold, D.V.1    Beyer, H.-G.2
  • 6
    • 33747400562 scopus 로고    scopus 로고
    • A general noise model and its effects on evolution strategy performance
    • DOI 10.1109/TEVC.2005.859467
    • Arnold, D.V., and Beyer, H.G. (2006), 'A General Noise Model and its Effects on Evolution Strategy Performance', IEEE Transactions on Evolutionary Computation, 10, 380-391. (Pubitemid 44251373)
    • (2006) IEEE Transactions on Evolutionary Computation , vol.10 , Issue.4 , pp. 380-391
    • Arnold, D.V.1    Beyer, H.-G.2
  • 8
    • 0028564326 scopus 로고
    • Evolution strategies applied to perturbed objective functions
    • 27-29 June, Orlando, FL
    • Back, T., and Hammel, U. (1994), 'Evolution Strategies Applied to Perturbed Objective Functions', in Proceedings of the 1st IEEE Conference Evolutionary Computation, 27-29 June, Orlando, FL, Vol. 1, pp. 40-45.
    • (1994) Proceedings of the 1st IEEE Conference Evolutionary Computation , vol.1 , pp. 40-45
    • Back, T.1    Hammel, U.2
  • 11
    • 0033737186 scopus 로고    scopus 로고
    • Evolutionary algorithms in noisy environments: Theoretical issues and guidelines for practice
    • Beyer, H.G. (2000), 'Evolutionary Algorithms in Noisy Environments: Theoretical Issues and Guidelines for Practice', Computer Methods in Applied Mechanics and Engineering, 186, 239-267.
    • (2000) Computer Methods in Applied Mechanics and Engineering , vol.186 , pp. 239-267
    • Beyer, H.G.1
  • 12
    • 35248885798 scopus 로고    scopus 로고
    • Selection in the presence of noise
    • 12-16 July, Chicago, IL, ed. E. Cantu-Paz, Lecture Notes in Computer Science
    • Branke, J., and Schmidt, C. (2003), 'Selection in the Presence of Noise', in Proceedings of the Genetic Evolutionary Computation Conference, 12-16 July, Chicago, IL, ed. E. Cantu-Paz, Lecture Notes in Computer Science, pp. 766-777.
    • (2003) Proceedings of the Genetic Evolutionary Computation Conference , pp. 766-777
    • Branke, J.1    Schmidt, C.2
  • 15
    • 32444445954 scopus 로고    scopus 로고
    • Fitness inheritance for noisy evolutionary multi-objective optimization
    • DOI 10.1145/1068009.1068141, GECCO 2005 - Genetic and Evolutionary Computation Conference
    • Bui, L.T., Abbass, H.A., and Essam, D. (2005), 'Fitness Inheritance for Noisy Evolutionary Multi Objective Optimization', in Proceedings of the GECCO 2005, 25-29 June, Washington, DC, pp. 779-785. (Pubitemid 43226375)
    • (2005) GECCO 2005 - Genetic and Evolutionary Computation Conference , pp. 779-785
    • Bui, L.T.1    Abbass, H.A.2    Essam, D.3
  • 16
    • 70349614180 scopus 로고    scopus 로고
    • Localization for solving noisy multi objective optimization problems
    • Bui, L.T., Abbass, H.A., and Essam, D. (2009), 'Localization for Solving Noisy Multi Objective Optimization Problems', Evolutionary Computation, 17, 379-409.
    • (2009) Evolutionary Computation , vol.17 , pp. 379-409
    • Bui, L.T.1    Abbass, H.A.2    Essam, D.3
  • 19
    • 2442678897 scopus 로고    scopus 로고
    • A genetic-algorithm for discovering small-disjunct rules in data mining
    • DOI 10.1016/S1568-4946(02)00031-5, PII S1568494602000315
    • Carvalho, D.R., and Freitas, A.A. (2002), 'A Genetic Algorithm for Discovering Small Disjunct Rules in Data Mining', Applied Soft Computing, 2, 75-88. (Pubitemid 40421590)
    • (2002) Applied Soft Computing Journal , vol.2 , Issue.2 , pp. 75-88
    • Carvalho, D.R.1    Freitas, A.A.2
  • 20
    • 2442682055 scopus 로고    scopus 로고
    • A hybrid decision tree/genetic algorithm method for data mining
    • Carvalho, D.R., and Freitas, A.A. (2004), 'A Hybrid Decision Tree/Genetic Algorithm Method for Data Mining', Information Science, 163, 13-35.
    • (2004) Information Science , vol.163 , pp. 13-35
    • Carvalho, D.R.1    Freitas, A.A.2
  • 21
    • 0033185714 scopus 로고    scopus 로고
    • Multi objective genetic algorithms: Problems difficulties and construction of test problems
    • Deb, K. (1999), 'Multi Objective Genetic Algorithms: Problems Difficulties and Construction of Test Problems', Evolutionary Computation, 7, 205-230.
    • (1999) Evolutionary Computation , vol.7 , pp. 205-230
    • Deb, K.1
  • 22
    • 0036530772 scopus 로고    scopus 로고
    • A fast and elitist multiobjective genetic algorithm: NSGA-II
    • DOI 10.1109/4235.996017, PII S1089778X02041012
    • Deb, K., Agrawal, S., Pratap, A., and Meyarivan, T. (2002), 'A Fast Elitist Multi Objective Genetic Algorithm: NSGAII', IEEE Transactions on Evolutionary Computation, 6, 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
  • 23
    • 33750258231 scopus 로고    scopus 로고
    • Innovization: Innovating design principles through optimization
    • GECCO 2006 - Genetic and Evolutionary Computation Conference
    • Deb, K., and Srinivasan, A. (2006), 'Innovization: Innovative Design Principles Through Optimization', in Proceedings of the Genetic and Evolutionary Computation Conference (GECCCO), 8-12 July, Seattle WA, pp. 1629-1636. (Pubitemid 44611527)
    • (2006) GECCO 2006 - Genetic and Evolutionary Computation Conference , vol.2 , pp. 1629-1636
    • Deb, K.1    Srinivasan, A.2
  • 24
    • 4344586460 scopus 로고    scopus 로고
    • Applying evolutionary algorithms to problems with noisy, time consuming fitness functions
    • Portland, OR
    • Di Pietro, A., White, L., and Barone, L. (2004), 'Applying Evolutionary Algorithms to Problems With Noisy, Time Consuming Fitness Functions', in Proceedings of the Congress on Evolutionary Computations, Portland, OR, pp. 1254-1261.
    • (2004) Proceedings of the Congress on Evolutionary Computations , pp. 1254-1261
    • Di Pietro, A.1    White, L.2    Barone, L.3
  • 25
    • 70449523355 scopus 로고    scopus 로고
    • Evolutionary multi objective optimization in noisy problem environments
    • Eskandari, H., and Geiger, C.D. (1999), 'Evolutionary Multi Objective Optimization in Noisy Problem Environments', Journal of Heuristics, 15, 559-595.
    • (1999) Journal of Heuristics , vol.15 , pp. 559-595
    • Eskandari, H.1    Geiger, C.D.2
  • 26
    • 42149088986 scopus 로고    scopus 로고
    • A fast Pareto genetic algorithm approach for solving expensive multiobjective optimization problems
    • DOI 10.1007/s10732-007-9037-z
    • Eskandari, H., and Geiger, C.D. (2008), 'A Fast Pareto Genetic Algorithm Approach for Solving Expensive Multi Objective Optimization Problems', Journal of Heuristics, 14, 203-241. (Pubitemid 351534263)
    • (2008) Journal of Heuristics , vol.14 , Issue.3 , pp. 203-241
    • Eskandari, H.1    Geiger, C.D.2
  • 29
  • 30
    • 26444447007 scopus 로고    scopus 로고
    • Technical Report, Helsinki Institute for Information Technology
    • Goethals, B. (2003), 'Survey on Frequent Pattern Mining', Technical Report, Helsinki Institute for Information Technology.
    • (2003) Survey on Frequent Pattern Mining
    • Goethals, B.1
  • 31
    • 34547307947 scopus 로고    scopus 로고
    • Noise handling in evolutionary multi-objective optimization
    • 1688466, 2006 IEEE Congress on Evolutionary Computation, CEC 2006
    • Goh, C.K., and Tan, K.C. (2006), 'Noisy Handling in Evolutionary Multi objective optimization', in Proceedings of the IEEE Congress on Evolutionary Computation, 16-21 July, Vancouver, BC, Canada, pp. 1354-1361. (Pubitemid 47130655)
    • (2006) 2006 IEEE Congress on Evolutionary Computation, CEC 2006 , pp. 1354-1361
    • Goh, C.K.1    Tan, K.C.2
  • 32
    • 34250213640 scopus 로고    scopus 로고
    • An investigation on noisy environments in evolutionary multiobjective optimization
    • DOI 10.1109/TEVC.2006.882428
    • Goh, C.K., and Tan, K.C. (2007), 'An Investigation on Noisy Environment in Evolutionary Multi Objective Optimization', IEEE Transactions on Evolutionary Computation, 11, 354-381. (Pubitemid 46895413)
    • (2007) IEEE Transactions on Evolutionary Computation , vol.11 , Issue.3 , pp. 354-381
    • Goh, C.K.1    Tan, K.C.2
  • 33
    • 85027497157 scopus 로고
    • Evolution strategies on noisy functions how to improve convergence properties
    • Parallel Problem Solving from Nature Ser eds. Y. Davidor, H.P. Schwefel, and R. Manner, Berlin, Germany: Springer- Verlag
    • Hammel, U., and Back, T. (1994), 'Evolution Strategies on Noisy Functions How to Improve Convergence Properties', in Parallel Problem Solving from Nature (Vol. 866), Ser. LNCS, eds. Y. Davidor, H.P. Schwefel, and R. Manner, Berlin, Germany: Springer-Verlag, pp. 159-168.
    • (1994) LNCS , vol.866 , pp. 159-168
    • Hammel, U.1    Back, T.2
  • 34
    • 0002784345 scopus 로고    scopus 로고
    • Algorithm for association rule mining- A general survey and comparison
    • Hipp, J., Guntzer, U., and Nakhaeizadeh, G. (2000), 'Algorithm for Association Rule Mining-A General Survey and Comparison', ACM/SKIGKDD Explorations, 2, 58-64.
    • (2000) ACM/SKIGKDD Explorations , vol.2 , pp. 58-64
    • Hipp, J.1    Guntzer, U.2    Nakhaeizadeh, G.3
  • 35
    • 0034875546 scopus 로고    scopus 로고
    • Constraint handling with uncertain and noisy multi-objective evolution
    • Hughes, E.J. (2001a), 'Constraint Handling with Uncertain and Noisy Multi Objective Evolution', in Proceedings of the Congress on Evolutionary Computation, 27-30 May, Coex, Seoul, Korea, Vol. 2, pp. 963-970. (Pubitemid 32806245)
    • (2001) Proceedings of the IEEE Conference on Evolutionary Computation, ICEC , vol.2 , pp. 963-970
    • Hughes, E.J.1
  • 36
    • 84931315629 scopus 로고    scopus 로고
    • Evolutionary multi-objective ranking with uncertainty and noise
    • Evolutionary Multi-Criterion Optimization
    • Hughes, E.J. (2001b), 'Evolutionary Multi Objective Ranking with Uncertainty and Noise', in Proceedings of the 1st Conference Evolutionary Multi Criterion Optimization 2001, 7-9 March, Zurich, Switzerland, pp. 329-343. (Pubitemid 33241397)
    • (2001) Lecture Notes in Computer Science , Issue.1993 , pp. 329-343
    • Hughes, E.J.1
  • 37
    • 21044438483 scopus 로고    scopus 로고
    • Evolutionary optimization in uncertain environments - A survey
    • DOI 10.1109/TEVC.2005.846356
    • Jin, Y., and Branke, J. (2005), 'Evolutionary Optimization in Uncertain Environments-A Survey', IEEE Transactions on Evolutionary Computation, 9, 303-317. (Pubitemid 40871134)
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.3 , pp. 303-317
    • Jin, Y.1    Branke, J.2
  • 38
    • 0035447730 scopus 로고    scopus 로고
    • A genetic algorithm methodology for data mining and intelligent knowledge acquisition
    • DOI 10.1016/S0360-8352(01)00036-5, PII S0360835201000365
    • Kamrani, A., Wang, R., and Gonzalez, R. (2001), 'A Genetic Algorithm Methodology for Data Mining and Intelligent Knowledge Acquisition', Computers and Industrial Engineering, 40, 361-377. (Pubitemid 32820883)
    • (2001) Computers and Industrial Engineering , vol.40 , Issue.4 , pp. 361-377
    • Kamrani, A.1    Rong, W.2    Gonzalez, R.3
  • 39
    • 0034294996 scopus 로고    scopus 로고
    • Using data mining to find patterns in genetic algorithm solutions to a job shop schedule
    • DOI 10.1016/S0360-8352(00)00050-4
    • Koonce, D.A., and Tsai, S.C. (2000), 'Using Data Mining to Find Patterns in Genetic Algorithm Solutions to a Job Shop Schedule', Computer and Industrial Engineering, 38, 361-374. (Pubitemid 32022410)
    • (2000) Computers and Industrial Engineering , vol.38 , Issue.3 , pp. 361-374
    • Koonce, D.A.1    Tsai, S.-C.2
  • 40
    • 69249208646 scopus 로고    scopus 로고
    • Application of ant colony, genetic algorithm and data mining-based techniques for scheduling
    • Kumar, S., and Rao, C.S.P. (2009), 'Application of Ant Colony, Genetic Algorithm and Data Mining-based Techniques for Scheduling', Robotics and Computer-Integrated Manufacturing, 25, 901-908.
    • (2009) Robotics and Computer-Integrated Manufacturing , vol.25 , pp. 901-908
    • Kumar, S.1    Rao, C.S.P.2
  • 41
    • 53049108009 scopus 로고    scopus 로고
    • A frequent pattern mining algorithm for understanding genetic algorithms
    • Proceedings of the International Conference on Intelligent Computing, 15-18 September, Shanghai, China
    • Le, M.N., and Ong, Y.S. (2008), 'A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms', in Proceedings of the International Conference on Intelligent Computing, 15-18 September, Shanghai, China, Lecture Notes in Artificial Intelligence, Vol. 5277, pp. 131-139.
    • (2008) Lecture Notes in Artificial Intelligence , vol.5277 , pp. 131-139
    • Le, M.N.1    Ong, Y.S.2
  • 43
    • 67349108023 scopus 로고    scopus 로고
    • Multi objective optimization problems with complicated pareto set, MOEA/D and NSGA-II
    • Li, H., and Zhang, Q. (2009), 'Multi Objective Optimization Problems with Complicated Pareto Set, MOEA/D and NSGA-II', IEEE Transactions on Evolutionary Computation, 13, 284-302.
    • (2009) IEEE Transactions on Evolutionary Computation , vol.13 , pp. 284-302
    • Li, H.1    Zhang, Q.2
  • 45
    • 22744456511 scopus 로고    scopus 로고
    • Multi-objective optimization of problems with epistemic uncertainty
    • Evolutionary Multi-Criterion Optimization - Third International Conference, EMO 2005
    • Limbourg, P. (2005), 'Multi Objective Optimization of Problems with Epistemic Uncertainty', in Proceedings of the EMO 2005, LNCS, eds. C.A. Coello Coello, A.H. Aguirre, and E. Zitzler, Heidelberg: Springer, pp. 413-427. (Pubitemid 41251780)
    • (2005) Lecture Notes in Computer Science , vol.3410 , pp. 413-427
    • Limbourg, P.1
  • 47
    • 0007943381 scopus 로고    scopus 로고
    • TR 97001 Ph.D. dissertation, Department of Computational Science, University of Illinois of Urbana Champaign, Urbana IL
    • Miller, B.L. (1997), 'Noise Sampling and Efficient Genetic Algorithms', TR 97001, Ph.D. dissertation, Department of Computational Science, University of Illinois of Urbana Champaign, Urbana, IL.
    • (1997) Noise Sampling and Efficient Genetic Algorithms
    • Miller, B.L.1
  • 48
    • 21444438033 scopus 로고    scopus 로고
    • Genetic algorithms, selection schemes, and the varying effects of noise
    • Miller, B.L., and Goldberg, D.E. (1996), 'Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise', Evolutionary Computation, 4, 113-131. (Pubitemid 126706153)
    • (1996) Evolutionary Computation , vol.4 , Issue.2 , pp. 113-131
    • Miller, B.L.1    Goldberg, D.E.2
  • 49
    • 72149125032 scopus 로고    scopus 로고
    • A markov chain that models genetic algorithms in noisy environments
    • Nakama, T. (2009), 'A Markov Chain that Models Genetic Algorithms in Noisy Environments', Nonlinear Analysis: Theory Methods and Applications, 71, 991-998.
    • (2009) Nonlinear Analysis: Theory Methods and Applications , vol.71 , pp. 991-998
    • Nakama, T.1
  • 50
    • 37249086596 scopus 로고    scopus 로고
    • MOGA-II: An improved multi objective genetic algorithm
    • Esteco, Trieste
    • Poles, S. (2003), 'MOGA-II: An Improved Multi Objective Genetic Algorithm', Technical Report 2003-2006, Esteco, Trieste.
    • (2003) Technical Report 2003-2006
    • Poles, S.1
  • 52
    • 0001803234 scopus 로고    scopus 로고
    • GA coupled with computationally expensive simulations: Tools to improve efficiency
    • eds. D. Quagliarella, J. Periaux, C. Poloni, and G. Winter, England: John Wiley and sons
    • Poloni, C., and Pediroda, V. (1997), 'GA Coupled with Computationally Expensive Simulations: Tools to Improve Efficiency', in Genetic Algorithm and Evolution Strategies in Engineering and Computer Science, eds. D. Quagliarella, J. Periaux, C. Poloni, and G. Winter, England: John Wiley and sons, pp. 267-288.
    • (1997) Genetic Algorithm and Evolution Strategies in Engineering and Computer Science , pp. 267-288
    • Poloni, C.1    Pediroda, V.2
  • 53
    • 33751231826 scopus 로고    scopus 로고
    • Searching in the Presence of Noise
    • Parallel Problem Solving from Nature - PPSN IV
    • Rana, S., Whitney, D., and Cogswell, R. (1996), 'Searching in the Presence of Noise', in Proceedings of the 4th International Conference Parallel Problem Solving from Nature (PPSN IV), 22-26 September, Berlin, Germany, pp. 198-207. (Pubitemid 126128308)
    • (1996) Lecture Notes in Computer Science , Issue.1141 , pp. 198-207
    • Rana, S.1    Whitley, L.D.2    Cogswell, R.3
  • 54
    • 0000019887 scopus 로고    scopus 로고
    • Noisy fitness evaluation in genetic algorithm and dynamics of learning
    • eds. R.K. Belew, and M.D. Vose, San Mateo, CA: Morgan Kaufmann
    • Rattray, L.M., and Shapiro, J. (1997), 'Noisy Fitness Evaluation in Genetic Algorithm and Dynamics of Learning', in Foundations of Genetic Algorithms (Vol. 4), eds. R.K. Belew, and M.D. Vose, San Mateo, CA: Morgan Kaufmann, pp. 117-139.
    • (1997) Foundations of Genetic Algorithms , vol.4 , pp. 117-139
    • Rattray, L.M.1    Shapiro, J.2
  • 55
    • 84947736272 scopus 로고    scopus 로고
    • Evolutionary search for minimal elements in partially ordered fitness sets
    • 25-27 March, San Diego, CA
    • Rudolph, G. (1998), 'Evolutionary Search for Minimal Elements in Partially Ordered Fitness Sets', in Proceedings of the 7th Annual Conference on Evolutionary Programming, 25-27 March, San Diego, CA, pp. 345-353.
    • (1998) Proceedings of the 7th Annual Conference on Evolutionary Programming , pp. 345-353
    • Rudolph, G.1
  • 57
    • 78650742261 scopus 로고    scopus 로고
    • On Uncertainty and robustness in evolutionary optimization based MCDM
    • Proceedings of the EMO 2009 eds. M. Ehrgott, V. Barichard, X. Gandibleux, and V. T'Kindt, Berlin: Springer
    • Salazar Aponte, D.E., Rocco, C.M., and Galvan, B. (2009), 'On Uncertainty and Robustness in Evolutionary Optimization Based MCDM', in Proceedings of the EMO 2009, LNCS, eds. M. Ehrgott, V. Barichard, X. Gandibleux, and V. T'Kindt, Berlin: Springer, 467, pp 51-65.
    • (2009) LNCS , vol.467 , pp. 51-65
    • Salazar Aponte, D.E.1    Rocco, C.M.2    Galvan, B.3
  • 58
    • 84947914006 scopus 로고    scopus 로고
    • Optimization of noisy fitness functions by means of genetic algorithms using history of search
    • Parallel Problem Solving from Nature 1917, Ser eds. M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J.M. Guervó s, and H.-P. Schwefel, Berlin, Germany: Springer- Verlag
    • Sano, Y., and Kita, H. (2000), 'Optimization of Noisy Fitness Functions by Means of Genetic Algorithms using History of Search', in Parallel Problem Solving from Nature (Vol. 1917), Ser. LNCS, eds. M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J.M. Guervó s, and H.-P. Schwefel, Berlin, Germany: Springer-Verlag, pp. 571-580.
    • (2000) LNCS , pp. 571-580
    • Sano, Y.1    Kita, H.2
  • 59
    • 84901442936 scopus 로고    scopus 로고
    • Optimization of noisy fitness functions by means of genetic algorithms using history of search with test of estimation
    • 12-17 May, Honolulu, HI
    • Sano, Y., and Kita, H. (2002), 'Optimization of Noisy Fitness Functions by Means of Genetic Algorithms using History of Search with Test of Estimation', in Proceedings of the Congress on Evolutionary Computation, 12-17 May, Honolulu, HI, Vol. 1, pp. 360-365.
    • (2002) Proceedings of the Congress on Evolutionary Computation , vol.1 , pp. 360-365
    • Sano, Y.1    Kita, H.2
  • 60
    • 33750319983 scopus 로고    scopus 로고
    • Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem
    • DOI 10.1016/j.neucom.2006.07.008, PII S0925231206002050
    • Santos, H.G., Ochi, L.S., Marinho, E.H., and Drummond, L.M.A. (2006), 'Combining an Evolutionary Algorithm with Data Mining to Solve a Single-vehicle Routing Problem', Neurocomputing, 70, 70-77. (Pubitemid 44615808)
    • (2006) Neurocomputing , vol.70 , Issue.1-3 , pp. 70-77
    • Santos, H.G.1    Ochi, L.S.2    Marinho, E.H.3    Drummond, L.M.A.4
  • 65
    • 0035247711 scopus 로고    scopus 로고
    • Kalman-extended genetic algorithm for search in nonstationary environments with noisy fitness evaluations
    • DOI 10.1109/4235.910466, PII S1089778X01003654
    • Stroud, P.D. (2001), 'Kalman Extended Genetic Algorithms for Search in Non Stationary Environments with Noisy Fitness Evaluations', IEEE Transactions on Evolutionary Computation, 5, 66-77. (Pubitemid 32330498)
    • (2001) IEEE Transactions on Evolutionary Computation , vol.5 , Issue.1 , pp. 66-77
    • Stroud, P.D.1
  • 67
    • 75149166405 scopus 로고    scopus 로고
    • Evolutionary optimization of noisy multi objective problems using confidence based dynamic resampling
    • Syberfeldt, A., Ng, A., John, R.I., and Moore, P. (2010), 'Evolutionary Optimization of Noisy Multi Objective Problems Using Confidence Based Dynamic Resampling', European Journal of Operational Research, 204, 533-544.
    • (2010) European Journal of Operational Research , vol.204 , pp. 533-544
    • Syberfeldt, A.1    Ng, A.2    John, R.I.3    Moore, P.4
  • 68
    • 36049007748 scopus 로고    scopus 로고
    • An evolutionary artificial immune system for multi-objective optimization
    • DOI 10.1016/j.ejor.2007.02.047, PII S0377221707002950
    • Tan, K.C., Goh, C.K., Mamum, A.A., and Ei, E.Z. (2008), 'An Evolutionary Artificial Immune System for Multi Objective Optimization', European Journal of Operational Research, 187, 371-392. (Pubitemid 350102850)
    • (2008) European Journal of Operational Research , vol.187 , Issue.2 , pp. 371-392
    • Tan, K.C.1    Goh, C.K.2    Mamun, A.A.3    Ei, E.Z.4
  • 69
    • 84931301090 scopus 로고    scopus 로고
    • Pareto-front exploration with uncertain objectives
    • Evolutionary Multi-Criterion Optimization
    • Teich, J. (2001), 'Pareto Front Exploration with Uncertain Objectives', in Evolutionary Multi Criterion Optimization, Ser. LNCS, eds. E. Zitzler, K. Deb, L. Thiele, C.A. Coello Coello, and D. Corne, Berlin, Germany: Springer-Verlag, pp. 314-328. (Pubitemid 33241396)
    • (2001) Lecture Notes in Computer Science , Issue.1993 , pp. 314-328
    • Teich, J.1
  • 71
    • 0030160842 scopus 로고    scopus 로고
    • Genetic algorithms with noisy fitness
    • DOI 10.1016/0895-7177(96)00068-4, PII S0895717796000684
    • Zhai, W., Kelly, P., and Gong, W.B. (1996), 'Genetic Algorithms with Noisy Fitness', Mathematical Computational Modeling, 23, 131-142. (Pubitemid 27084424)
    • (1996) Mathematical and Computer Modelling , vol.23 , Issue.11-12 , pp. 131-142
    • Zhai, W.1    Kelly, P.2    Gong, W.-B.3
  • 72
    • 0034199979 scopus 로고    scopus 로고
    • Comparison of multi objective evolutionary algorithms: Empirical results
    • Zitzler, E., Deb, K., and Thiele, L. (2000), 'Comparison of Multi Objective Evolutionary Algorithms: Empirical Results', Evolutionary Computation, 8, 173-195.
    • (2000) Evolutionary Computation , vol.8 , pp. 173-195
    • Zitzler, E.1    Deb, K.2    Thiele, L.3
  • 73
    • 0004140075 scopus 로고    scopus 로고
    • SPEA2: Improving the strength pareto evolutionary algorithm
    • Computer Engineering and Networks Lab. (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland
    • Zitzler, E., Laumanns, M., and Thiele, L. (2001), 'SPEA2: Improving the Strength Pareto Evolutionary Algorithm', Technical Report 103, Computer Engineering and Networks Lab. (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland.
    • (2001) Technical Report 103
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3
  • 74
    • 0033318858 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms a comparative case study and the strength pareto approach
    • DOI 10.1109/4235.797969
    • Zitzler, E., and Thiele, L. (1999), 'Multi Objective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach', IEEE Transactions on Evolutionary Computation, 3, 257-271. (Pubitemid 30544879)
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.4 , pp. 257-271
    • Zitzler Eckart1    Thiele Lothar2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.