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Volumn , Issue , 2005, Pages 97-125

Genetic algorithms

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EID: 84892026101     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/0-387-28356-0_4     Document Type: Chapter
Times cited : (311)

References (129)
  • 1
    • 85027518301 scopus 로고
    • On the mean convergence time of evolutionary algorithms without selection and mutation
    • Lecture Notes in Computer Science
    • Asoh, H. and Muhlenbein, H., 1994, On the mean convergence time of evolutionary algorithms without selection and mutation, Parallel Problem Solving from Nature III, Lecture Notes in Computer Science, Vol. 866, pp. 98-107.
    • (1994) Parallel Problem Solving from Nature III , vol.866 , pp. 98-107
    • Asoh, H.1    Muhlenbein, H.2
  • 2
    • 0002858094 scopus 로고
    • Generalized convergence models for tournament- and (μ, λ)-selection
    • Bäck, T., 1995, Generalized convergence models for tournament- and (μ, λ)-selection, Proc. 6th Int. Conf. on Genetic Algorithms, pp. 2-8.
    • (1995) Proc. 6th Int. Conf. on Genetic Algorithms , pp. 2-8
    • Bäck, T.1
  • 5
    • 0003984832 scopus 로고
    • Population-based incremental learning: A method of integrating genetic search based function optimization and competitive learning
    • Carnegie Mellon University
    • Baluja, S., 1994, Population-based incremental learning: A method of integrating genetic search based function optimization and competitive learning, Technical Report CMU-CS-94-163, Carnegie Mellon University.
    • (1994) Technical Report CMU-CS-94-163
    • Baluja, S.1
  • 6
    • 34250083818 scopus 로고
    • Approximation concepts for optimum structural design a review
    • Barthelemy, J.-F. M. and Haftka, R. T., 1993, Approximation concepts for optimum structural design-a review, Struct. Optim. 5:129-144.
    • (1993) Struct. Optim. , vol.5 , pp. 129-144
    • Barthelemy, J.-F.M.1    Haftka, R.T.2
  • 7
    • 0001844324 scopus 로고
    • An overview of genetic algorithms: Part 1, fundamentals
    • Beasley, D., Bull, D. R. and Martin, R. R., 1993, An overview of genetic algorithms: Part 1, fundamentals, Univ. Comput. 15:58-69.
    • (1993) Univ. Comput. , vol.15 , pp. 58-69
    • Beasley, D.1    Bull, D.R.2    Martin, R.R.3
  • 9
    • 4243632166 scopus 로고    scopus 로고
    • Recombination
    • T. Back, D. B. Fogel, and Z. Michalewicz, eds, chapter E3.3, l-C3.3:27, IOP Publishing and Oxford University Press, Philadelphia, PA
    • Booker, L. B., Fogel, D. B., Whitley, D. and Angeline, P. J., 1997, Recombination, in: The Handbook of Evolutionary Computation, T. Back, D. B. Fogel, and Z. Michalewicz, eds, chapter E3.3, pp. C3.3: l-C3.3:27, IOP Publishing and Oxford University Press, Philadelphia, PA.
    • (1997) The Handbook of Evolutionary Computation
    • Booker, L.B.1    Fogel, D.B.2    Whitley, D.3    Angeline, P.J.4
  • 11
    • 0003599798 scopus 로고
    • The evolution of intelligence. The nervous system as a model of its environment
    • Department of Mathematics, University of Washington, Seattle, WA
    • Bremermann, H. J., 1958, The evolution of intelligence. The nervous system as a model of its environment, Technical Report No. 1, Department of Mathematics, University of Washington, Seattle, WA.
    • (1958) Technical Report No. 1
    • Bremermann, H.J.1
  • 13
    • 0033114970 scopus 로고    scopus 로고
    • A multi-stage evolutionary algorithm for the timetable problem
    • Burke, E. K. and Newall, J. P., 1999, A multi-stage evolutionary algorithm for the timetable problem, IEEE Trans. Evol. Comput. 3:63-74.
    • (1999) IEEE Trans. Evol. Comput. , vol.3 , pp. 63-74
    • Burke, E.K.1    Newall, J.P.2
  • 14
    • 85081481649 scopus 로고    scopus 로고
    • A memetic algorithm to schedule planned maintenance
    • Burke, E. K. and Smith, A. J., 1999, A memetic algorithm to schedule planned maintenance, ACM J. Exp. Algor. 41, www.jea.acm.org/1999/BurkeMemetic/ ISSN 1084-6654.
    • (1999) ACM J. Exp. Algor. , vol.41
    • Burke, E.K.1    Smith, A.J.2
  • 15
    • 0034138977 scopus 로고    scopus 로고
    • Hybrid evolutionary techniques for the maintenance scheduling problem
    • Burke, E. K. and Smith, A. J., 2000, Hybrid Evolutionary Techniques for the Maintenance Scheduling Problem, IEEE Trans. Power Syst. 15:122-128.
    • (2000) IEEE Trans. Power Syst. , vol.15 , pp. 122-128
    • Burke, E.K.1    Smith, A.J.2
  • 16
    • 84958980499 scopus 로고
    • Specialised recombinative operators for timetabling problems
    • T. Fogarty, ed., Lecture Notes in Computer Science, Springer, Berlin
    • Burke, E. K., Elliman, D. G. and Weare, R. F., 1995, Specialised recombinative operators for timetabling problems, in: Evolutionary Computing: AISB Workshop 1995 T. Fogarty, ed., Lecture Notes in Computer Science, Vol. 993, pp. 75-85, Springer, Berlin.
    • (1995) Evolutionary Computing: AISB Workshop 1995 , vol.993 , pp. 75-85
    • Burke, E.K.1    Elliman, D.G.2    Weare, R.F.3
  • 17
    • 84958750609 scopus 로고    scopus 로고
    • A memetic algorithm for university exam timetabling
    • E. K. Burke and P. Ross, eds, Lecture Notes in Computer Science, Springer, Berlin
    • Burke, E. K., Newall, J. P. and Weare, R. F., 1996, A memetic algorithm for university exam timetabling, in: The Practice and Theory of Automated Timetabling I, E. K. Burke and P. Ross, eds, Lecture Notes in Computer Science, Vol. 1153, pp. 241-250, Springer, Berlin.
    • (1996) The Practice and Theory of Automated Timetabling I , vol.1153 , pp. 241-250
    • Burke, E.K.1    Newall, J.P.2    Weare, R.F.3
  • 21
    • 0001387956 scopus 로고    scopus 로고
    • Migration policies and takeover times in parallel genetic algorithms
    • Morgan Kaufmann, San Francisco
    • Cantu-Paz, E., 1999, Migration policies and takeover times in parallel genetic algorithms, in: Proc. Genetic and Evolutionary Computation Conf., p. 775, Morgan Kaufmann, San Francisco.
    • (1999) Proc. Genetic and Evolutionary Computation Conf. , pp. 775
    • Cantu-Paz, E.1
  • 23
    • 0031340781 scopus 로고    scopus 로고
    • Parallel machine scheduling problems using memetic algorithms
    • Cheng, R. W. and Gen, M., 1997, Parallel machine scheduling problems using memetic algorithms, Comput. Indust. Eng., 33:761-764.
    • (1997) Comput. Indust. Eng. , vol.33 , pp. 761-764
    • Cheng, R.W.1    Gen, M.2
  • 25
    • 0000955244 scopus 로고
    • An evolutionary tabu search algorithm and the nhl scheduling problem
    • Costa, D., 1995, An evolutionary tabu search algorithm and the nhl scheduling problem, INFOR 33:161-178.
    • (1995) INFOR , vol.33 , pp. 161-178
    • Costa, D.1
  • 30
    • 0003871635 scopus 로고
    • An analysis of the behavior of a class of genetic adaptive systems
    • Doctoral Dissertation, University of Michigan, Ann Arbor, MI University Microfilms No. 76-9381 Dissertation
    • De Jong, K. A., 1975, An analysis of the behavior of a class of genetic adaptive systems, Doctoral Dissertation, University of Michigan, Ann Arbor, MI (University Microfilms No. 76-9381) (Dissertation Abs. Int. 36:5140B).
    • (1975) Abs. Int. , vol.36
    • De Jong, K.A.1
  • 31
    • 21344490948 scopus 로고
    • Sufficient conditions for deceptive and easy binary functions
    • Deb, K. and Goldberg, D. E., 1994, Sufficient conditions for deceptive and easy binary functions, Ann. Math. Artif. Intell. 10:385-408.
    • (1994) Ann. Math. Artif. Intell. , vol.10 , pp. 385-408
    • Deb, K.1    Goldberg, D.E.2
  • 36
    • 0027640931 scopus 로고
    • Genetic algorithms: Principles of natural selection applied to computation
    • Forrest, S., 1993, Genetic algorithms: Principles of natural selection applied to computation, Science 261:872-878.
    • (1993) Science , vol.261 , pp. 872-878
    • Forrest, S.1
  • 37
    • 0001044037 scopus 로고
    • Simulation of genetic systems by automatic digital computers. II: Effects of linkage on rates under selection
    • Fraser, A. S., 1957, Simulation of genetic systems by automatic digital computers. II: Effects of linkage on rates under selection, Austral. J. Biol. Sci. 10:492-499.
    • (1957) Austral. J. Biol. Sci. , vol.10 , pp. 492-499
    • Fraser, A.S.1
  • 38
    • 0003644437 scopus 로고
    • Computer-aided pipeline operation using genetic algorithms and rule learning
    • University of Michigan, Ann Arbor, MI
    • Goldberg, D. E., 1983, Computer-aided pipeline operation using genetic algorithms and rule learning, Doctoral Dissertation,. University of Michigan, Ann Arbor, MI.
    • (1983) Doctoral Dissertation
    • Goldberg, D.E.1
  • 39
    • 0002076808 scopus 로고
    • Simple genetic algorithms and the minimal deceptive problem
    • L. Davis, ed., chapter 6, Morgan Kaufmann, Los Altos, CA
    • Goldberg, D. E., 1987, Simple genetic algorithms and the minimal deceptive problem, in: Genetic Algorithms and Simulated Annealing, L. Davis, ed., chapter 6, pp. 74-88, Morgan Kaufmann, Los Altos, CA.
    • (1987) Genetic Algorithms and Simulated Annealing , pp. 74-88
    • Goldberg, D.E.1
  • 40
    • 0000473160 scopus 로고
    • Genetic algorithms and Walsh functions: Part II, deception and its analysis
    • Goldberg, D. E., 1989a, Genetic algorithms and Walsh functions: Part II, deception and its analysis, Complex Syst. 3:153-171.
    • (1989) Complex Syst. , vol.3 , pp. 153-171
    • Goldberg, D.E.1
  • 42
    • 0001650502 scopus 로고
    • Sizing populations for serial and parallel genetic algorithms
    • Goldberg, D. E., 1989c, Sizing populations for serial and parallel genetic algorithms, in: Proc. 3rd Int. Conf. on Genetic Algorithms, pp. 70-79.
    • (1989) Proc. 3rd Int. Conf. on Genetic Algorithms , pp. 70-79
    • Goldberg, D.E.1
  • 43
    • 0008092264 scopus 로고    scopus 로고
    • The race, the hurdle, and the sweet spot: Lessons from genetic algorithms for the automation of design innovation and creativity
    • P. Bentley, ed., chapter 4, Morgan Kaufmann, San Mateo, CA
    • Goldberg, D. E., 1999a, The race, the hurdle, and the sweet spot: Lessons from genetic algorithms for the automation of design innovation and creativity, in: Evolutionary Design by Computers, P. Bentley, ed., chapter 4, pp. 105-118, Morgan Kaufmann, San Mateo, CA.
    • (1999) Evolutionary Design by Computers , pp. 105-118
    • Goldberg, D.E.1
  • 44
    • 0005388921 scopus 로고    scopus 로고
    • Using time efficiently: Genetic-evolutionary algorithms and the continuation problem
    • Goldberg, D. E., 1999b, Using time efficiently: Genetic-evolutionary algorithms and the continuation problem, in: Proc. Genetic and Evolutionary Computation Conf, pp. 212-219.
    • (1999) Proc. Genetic and Evolutionary Computation Conf , pp. 212-219
    • Goldberg, D.E.1
  • 46
    • 0002819121 scopus 로고
    • A comparative analysis of selection schemes used in genetic algorithms
    • G. J. E. Rawlins, ed.
    • Goldberg, D. E. and Deb, K., 1991, A comparative analysis of selection schemes used in genetic algorithms, Foundations of Genetic Algorithms, G. J. E. Rawlins, ed., pp. 69-93.
    • (1991) Foundations of Genetic Algorithms , pp. 69-93
    • Goldberg, D.E.1    Deb, K.2
  • 47
    • 0000510934 scopus 로고
    • Genetic algorithms, noise, and the sizing of populations
    • Goldberg, D. E., Deb, K. and Clark, J. H., 1992a, Genetic algorithms, noise, and the sizing of populations, Complex Syst. 6:333-362.
    • (1992) Complex Syst. , vol.6 , pp. 333-362
    • Goldberg, D.E.1    Deb, K.2    Clark, J.H.3
  • 48
    • 0002124984 scopus 로고
    • Massive multimodality, deception, and genetic algorithms
    • Elsevier, New York
    • Goldberg, D. E., Deb, K. and Horn, J., 1992b, Massive multimodality, deception, and genetic algorithms, Parallel Problem Solving from Nature II, pp. 37-46, Elsevier, New York.
    • (1992) Parallel Problem Solving from Nature II , pp. 37-46
    • Goldberg, D.E.1    Deb, K.2    Horn, J.3
  • 49
    • 0001907722 scopus 로고
    • Rapid, accurate optimization of difficult problems using fast messy genetic algorithms
    • Goldberg, D. E., Deb, K., Kargupta, H. and Harik, G., 1993, Rapid, accurate optimization of difficult problems using fast messy genetic algorithms, in: Proc. Int. Conf. on Genetic Algorithms, pp. 56-64.
    • (1993) Proc. Int. Conf. on Genetic Algorithms , pp. 56-64
    • Goldberg, D.E.1    Deb, K.2    Kargupta, H.3    Harik, G.4
  • 50
    • 0000904077 scopus 로고
    • Messy genetic algorithms: Motivation, analysis, and first results
    • Goldberg, D. E., Korb, B. and Deb, K., 1989, Messy genetic algorithms: Motivation, analysis, and first results. Complex Syst. 3:493-530.
    • (1989) Complex Syst. , vol.3 , pp. 493-530
    • Goldberg, D.E.1    Korb, B.2    Deb, K.3
  • 52
    • 0000098640 scopus 로고
    • Genetic algorithms and the variance of fitness
    • Goldberg, D. E. and Rudnick, M., 1991, Genetic algorithms and the variance of fitness, Complex Syst. 5:265-278.
    • (1991) Complex Syst. , vol.5 , pp. 265-278
    • Goldberg, D.E.1    Rudnick, M.2
  • 57
    • 0002892683 scopus 로고
    • ASPARAGOS: An asynchronous parallel genetic optimization strategy
    • Gorges-Schleuter, M., 1989, ASPARAGOS: An asynchronous parallel genetic optimization strategy, in: Proc. 3rd Int. Conf. on Genetic Algorithms, pp. 422-428.
    • (1989) Proc. 3rd Int. Conf. on Genetic Algorithms , pp. 422-428
    • Gorges-Schleuter, M.1
  • 59
    • 0003766240 scopus 로고
    • Parallel adaptive algorithms for function optimization
    • Computer Science Department, Vanderbilt University, Nashville, TN
    • Grefenstette, J. J., 1981, Parallel adaptive algorithms for function optimization, Technical Report No. CS-81-19, Computer Science Department, Vanderbilt University, Nashville, TN.
    • (1981) Technical Report No. CS-81-19
    • Grefenstette, J.J.1
  • 62
    • 0003826269 scopus 로고    scopus 로고
    • Learning linkage to eficiently solve problems of bounded difficulty using genetic algorithms
    • University of Michigan, Ann Arbor, MI
    • Harik, G. R., 1997, Learning linkage to eficiently solve problems of bounded difficulty using genetic algorithms, Doctoral Dissertation, University of Michigan, Ann Arbor, MI.
    • (1997) Doctoral Dissertation
    • Harik, G.R.1
  • 63
    • 0003738581 scopus 로고    scopus 로고
    • Linkage learning via probabilistic modeling in the ECGA
    • University of Illinois at Urbana-Champaign, Urbana, IL
    • Harik, G., 1999, Linkage learning via probabilistic modeling in the ECGA, IlliGAL Report No. 99010, University of Illinois at Urbana-Champaign, Urbana, IL.
    • (1999) IlliGAL Report No. 99010
    • Harik, G.1
  • 64
    • 0033185794 scopus 로고    scopus 로고
    • The gambler's ruin problem, genetic algorithms, and the sizing of populations
    • Harik, G., Cantú-Paz, E., Goldberg, D. E. and Miller, B. L., 1999, The gambler's ruin problem, genetic algorithms, and the sizing of populations, Evol. Comput. 7:231-253.
    • (1999) Evol. Comput. , vol.7 , pp. 231-253
    • Harik, G.1    Cantú-Paz, E.2    Goldberg, D.E.3    Miller, B.L.4
  • 67
    • 0000059548 scopus 로고    scopus 로고
    • Optimization with genetic algorithm hybrids using local search
    • R. K. Belew, and M. Mitchell, eds, Addison-Wesley, Reading, MA
    • Hart, W. E. and Belew, R. K., 1996, Optimization with genetic algorithm hybrids using local search, in: Adaptive Individuals in Evolving Populations, R. K. Belew, and M. Mitchell, eds, pp. 483-494, Addison-Wesley, Reading, MA.
    • (1996) Adaptive Individuals in Evolving Populations , pp. 483-494
    • Hart, W.E.1    Belew, R.K.2
  • 68
    • 66549111942 scopus 로고    scopus 로고
    • Special issue on memetic algorithms
    • Hart, W., Krasnogor, N. and Smith, J. E. (eds), 2004, Special issue on memetic algorithms, Evol. Comput. 12 No. 3.
    • (2004) Evol. Comput. , vol.12 , Issue.3
    • Hart, W.1    Krasnogor, N.2    Smith, J.E.3
  • 69
    • 10444289823 scopus 로고    scopus 로고
    • Efficient linkage discovery by limited probing
    • Heckendorn, R. B. and Wright, A. H., 2004, Efficient linkage discovery by limited probing, Evol. Comput. 12:517-545.
    • (2004) Evol. Comput. , vol.12 , pp. 517-545
    • Heckendorn, R.B.1    Wright, A.H.2
  • 71
    • 0013482888 scopus 로고    scopus 로고
    • Combinations with other optimization methods
    • T. Bäck, D. B. Fogel, and Z. Michalewicz, eds, Institute of Physics Publishing and Oxford University Press, Bristol and New York
    • Ibaraki, T., 1997, Combinations with other optimization methods, in: Handbook of Evolutionary Computation, T. Bäck, D. B. Fogel, and Z. Michalewicz, eds, pp. D3:l-D3:2, Institute of Physics Publishing and Oxford University Press, Bristol and New York.
    • (1997) Handbook of Evolutionary Computation
    • Ibaraki, T.1
  • 72
    • 21144433756 scopus 로고    scopus 로고
    • A comprehensive survey of fitness approximation in evolutionary computation
    • in press
    • Jin, Y, 2003, A comprehensive survey of fitness approximation in evolutionary computation, Soft Comput. J. (in press).
    • (2003) Soft Comput. J
    • Jin, Y.1
  • 75
    • 27344452492 scopus 로고    scopus 로고
    • A tutorial for competent memetic algorithms: Model, taxonomy and design issues
    • accepted for publication
    • Krasnogor, N. and Smith, J. E., 2005, A tutorial for competent memetic algorithms: model, taxonomy and design issues, IEEE Trans. Evol. Comput., accepted for publication.
    • (2005) IEEE Trans. Evol. Comput.
    • Krasnogor, N.1    Smith, J.E.2
  • 76
    • 4344567750 scopus 로고    scopus 로고
    • Learning with case injected genetic algorithms
    • Louis, S. J. and McDonnell, J., 2004, Learning with case injected genetic algorithms, IEEE Trans. Evol. Comput. 8:316-328.
    • (2004) IEEE Trans. Evol. Comput. , vol.8 , pp. 316-328
    • Louis, S.J.1    McDonnell, J.2
  • 81
    • 85081490229 scopus 로고    scopus 로고
    • Memetic Algorithms Home Page: http://www.densis.fee.unicamp.br/~moscato/ memetic-home.html
  • 83
    • 0000448376 scopus 로고
    • Genetic algorithms, tournament selection, and the effects of noise
    • Miller, B. L. and Goldberg, D. E., 1995, Genetic algorithms, tournament selection, and the effects of noise, Complex Syst. 9:193-212.
    • (1995) Complex Syst. , vol.9 , pp. 193-212
    • Miller, B.L.1    Goldberg, D.E.2
  • 84
    • 21444438033 scopus 로고    scopus 로고
    • Genetic algorithms, selection schemes, and the varying effects of noise
    • Miller, B. L. and Goldberg, D. E., 1996a, Genetic algorithms, selection schemes, and the varying effects of noise, Evol. Comput. 4:113-131.
    • (1996) Evol. Comput. , vol.4 , pp. 113-131
    • Miller, B.L.1    Goldberg, D.E.2
  • 87
    • 0003603223 scopus 로고
    • On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms
    • Caltech Concurrent Computation Program, California Institute of Technology, Pasadena, CA
    • Moscato, P., 1989, On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms, Technical Report C3P 826, Caltech Concurrent Computation Program, California Institute of Technology, Pasadena, CA.
    • (1989) Technical Report C3P 826
    • Moscato, P.1
  • 88
    • 84891993518 scopus 로고    scopus 로고
    • Part 4: Memetic algorithms
    • D. Corne, M. Dorigo and R Glover, eds, McGraw-Hill, New York
    • Moscato, P., 1999, Part 4: Memetic algorithms, in: New Ideas in Optimization, D. Corne, M. Dorigo and R Glover, eds, pp. 217-294, McGraw-Hill, New York.
    • (1999) New Ideas in Optimization , pp. 217-294
    • Moscato, P.1
  • 89
    • 0038569043 scopus 로고    scopus 로고
    • Memetic algorithms
    • Section 3.6.4, P. M. Pardalos and M. G. C. Resende, eds, Oxford University Press, Oxford
    • Moscato, P., 2001, Memetic algorithms, in: Handbook of Applied Optimization, Section 3.6.4, P. M. Pardalos and M. G. C. Resende, eds, Oxford University Press, Oxford.
    • (2001) Handbook of Applied Optimization
    • Moscato, P.1
  • 90
    • 0242655516 scopus 로고    scopus 로고
    • A gentle introduction to memetic algorithms
    • R Glover and G. Kochenberger, eds, Chapter 5, Kluwer, Norwell, MA
    • Moscato, P. and Cotta, C, 2003, A gentle introduction to memetic algorithms, in: Handbook of Metaheuristics, R Glover and G. Kochenberger, eds, Chapter 5, Kluwer, Norwell, MA.
    • (2003) Handbook of Metaheuristics
    • Moscato, P.1    Cotta, C.2
  • 91
    • 84958959530 scopus 로고    scopus 로고
    • From recombination of genes to the estimation of distributions I. Binary parameters
    • Lecture Notes in Computer Science, Springer, Berlin
    • Muhlenbein, H. and Paaß, G., 1996, From recombination of genes to the estimation of distributions I. Binary parameters, in: Parallel Problem Solving from Nature IV, Lecture Notes in Computer Science, Vol. 1141, Springer, Berlin.
    • (1996) Parallel Problem Solving from Nature IV , vol.1141
    • Muhlenbein, H.1    Paaß, G.2
  • 92
    • 0003140039 scopus 로고
    • Predictive models for the breeder genetic algorithm: I. Continous parameter optimization
    • Muhlenbein, H. and Schlierkamp-Voosen, D., 1993, Predictive models for the breeder genetic algorithm: I. continous parameter optimization, Evol. Comput. 1:25-49.
    • (1993) Evol. Comput. , vol.1 , pp. 25-49
    • Muhlenbein, H.1    Schlierkamp-Voosen, D.2
  • 93
    • 0033257616 scopus 로고    scopus 로고
    • Linkage identification by nonmonotonicity detection for overlapping functions
    • Munetomo, M. and Goldberg, D. E., 1999, Linkage identification by nonmonotonicity detection for overlapping functions, Evol. Comput. 7:311-398.
    • (1999) Evol. Comput. , vol.7 , pp. 311-398
    • Munetomo, M.1    Goldberg, D.E.2
  • 95
    • 84958763554 scopus 로고    scopus 로고
    • Extensions to a memetic timetabling system
    • E. K. Burke and P. Ross, eds, Lecture Notes in Computer Science, Springer, Berlin
    • Paechter, B., Cumming, A., Norman, M. G. and Luchian, H., 1996, Extensions to a memetic timetabling system, The Practice and Theory of Automated Timetabling I, E. K. Burke and P. Ross, eds, Lecture Notes in Computer Science, Vol. 1153, Springer, Berlin, pp. 251-265.
    • (1996) The Practice and Theory of Automated Timetabling I , vol.1153 , pp. 251-265
    • Paechter, B.1    Cumming, A.2    Norman, M.G.3    Luchian, H.4
  • 96
    • 21844483360 scopus 로고
    • The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms
    • T. Fogarty, ed., Lecture Notes in Computer Science, Springer, Berlin
    • Paechter, B., Cumming, A. and Luchian, H., 1995, The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms, Evolutionary Computing: AISB Workshop 1995, T. Fogarty, ed., Lecture Notes in Computer Science, Vol. 993, Springer, Berlin, pp. 86-93.
    • (1995) Evolutionary Computing: AISB Workshop 1995 , vol.993 , pp. 86-93
    • Paechter, B.1    Cumming, A.2    Luchian, H.3
  • 99
    • 4344642178 scopus 로고    scopus 로고
    • Linkage learning, estimation distribution, and Bayesian networks
    • Pelikan, M., Goldberg, D. E. and Cantu-Paz, E., 2000, Linkage learning, estimation distribution, and Bayesian networks, Evol. Comput. 8:314-341.
    • (2000) Evol. Comput. , vol.8 , pp. 314-341
    • Pelikan, M.1    Goldberg, D.E.2    Cantu-Paz, E.3
  • 100
    • 0036180213 scopus 로고    scopus 로고
    • A survey of optimization by building and using probabilistic models
    • Pelikan, M., Lobo, F. and Goldberg, D. E., 2002, A survey of optimization by building and using probabilistic models, Comput. Optim. Appl. 21:5-20.
    • (2002) Comput. Optim. Appl. , vol.21 , pp. 5-20
    • Pelikan, M.1    Lobo, F.2    Goldberg, D.E.3
  • 103
    • 84978316287 scopus 로고
    • Formal memetic algorithms
    • T. Fogarty, ed., Lecture Notes in Computer Science, Springer, Berlin
    • Radcliffe, N. J. and Surry, P. D., 1994, Formal memetic algorithms, Evolutionary Computing: AISB Workshop 1994, T. Fogarty, ed., Lecture Notes in Computer Science, Vol. 865, pp. 1-16, Springer, Berlin.
    • (1994) Evolutionary Computing: AISB Workshop 1994 , vol.865 , pp. 1-16
    • Radcliffe, N.J.1    Surry, P.D.2
  • 105
    • 0342404537 scopus 로고
    • Parallel implementation of genetic algorithms in a classifier system
    • Robertson, G. G., 1987, Parallel implementation of genetic algorithms in a classifier system, in: Proc. 2nd Int. Conf. on Genetic Algorithms, pp. 140-147.
    • (1987) Proc. 2nd Int. Conf. on Genetic Algorithms , pp. 140-147
    • Robertson, G.G.1
  • 107
    • 34248202745 scopus 로고    scopus 로고
    • Takeover times and probabilities of non-generational selection rules
    • Rudolph, G., 2000, Takeover times and probabilities of non-generational selection rules, in: Proc. Genetic and Evolutionary Computation Conf, pp. 903-910.
    • (2000) Proc. Genetic and Evolutionary Computation Conf , pp. 903-910
    • Rudolph, G.1
  • 109
    • 4344572502 scopus 로고    scopus 로고
    • Evaluation-relaxation schemes for genetic and evolutionary algorithms
    • General Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL
    • Sastry, K., 2001, Evaluation-relaxation schemes for genetic and evolutionary algorithms, Master's Thesis, General Engineering Department, University of Illinois at Urbana-Champaign, Urbana, IL.
    • (2001) Master's Thesis
    • Sastry, K.1
  • 110
    • 20844436408 scopus 로고    scopus 로고
    • Analysis of mixing in genetic algorithms: A survey
    • University of Illinois at Urbana-Champaign, Urbana, IL
    • Sastry, K. and Goldberg, D. E., 2002, Analysis of mixing in genetic algorithms: A survey, IlliGAL Report No. 2002012, University of Illinois at Urbana-Champaign, Urbana, IL.
    • (2002) IlliGAL Report No. 2002012
    • Sastry, K.1    Goldberg, D.E.2
  • 111
    • 35248832612 scopus 로고    scopus 로고
    • Scalability of selectorecombinative genetic algorithms for problems with tight linkage
    • Sastry, K. and Goldberg, D. E., 2003, Scalability of selectorecombinative genetic algorithms for problems with tight linkage, in: Proc. 2003 Genetic and Evolutionary Computation Conf., pp. 1332-1344.
    • (2003) Proc. 2003 Genetic and Evolutionary Computation Conf. , pp. 1332-1344
    • Sastry, K.1    Goldberg, D.E.2
  • 112
    • 35048855488 scopus 로고    scopus 로고
    • Designing competent mutation operators via probabilistic model building of neighborhoods
    • Lecture Notes in Computer Science, Springer, Berlin
    • Sastry, K. and Goldberg, D. E., 2004a, Designing competent mutation operators via probabilistic model building of neighborhoods, in: Proc. 2004 Genetic and Evolutionary Computation Conference II, Lecture Notes in Computer Science, Vol. 3103, Springer, Berlin, pp. 114-125.
    • (2004) Proc. 2004 Genetic and Evolutionary Computation Conference II , vol.3103 , pp. 114-125
    • Sastry, K.1    Goldberg, D.E.2
  • 113
    • 34547288544 scopus 로고    scopus 로고
    • Let's get ready to rumble: Crossover versus mutation head to head
    • Lecture Notes in Computer Science, Springer, Berlin
    • Sastry, K. and Goldberg, D. E., 2004b, Let's get ready to rumble: Crossover versus mutation head to head, in: Proc. 2004 Genetic and Evolutionary Computation Conf. II, Lecture Notes in Computer Science, Vol. 3103, Springer, Berlin, pp. 126-137.
    • (2004) Proc. 2004 Genetic and Evolutionary Computation Conf. II , vol.3103 , pp. 126-137
    • Sastry, K.1    Goldberg, D.E.2
  • 117
    • 27644558932 scopus 로고    scopus 로고
    • Recombination parameters
    • T. Back, D. B. Fogel and Z. Michalewicz, eds, Chapter El.3, IOP Publishing and Oxford University Press, Philadelphia, PA, l-E1.3:13
    • Spears, W., 1997, Recombination parameters, in: The Handbook of Evolutionary Computation, T. Back, D. B. Fogel and Z. Michalewicz, eds, Chapter El.3, IOP Publishing and Oxford University Press, Philadelphia, PA, pp. E1.3: l-E1.3:13.
    • (1997) The Handbook of Evolutionary Computation
    • Spears, W.1
  • 121
    • 0033258368 scopus 로고    scopus 로고
    • Scalability problems of simple genetic algorithms
    • Thierens, D., 1999, Scalability problems of simple genetic algorithms, Evol. Comput. 7:331-352.
    • (1999) Evol. Comput. , vol.7 , pp. 331-352
    • Thierens, D.1
  • 125
    • 0036497198 scopus 로고    scopus 로고
    • A seeded memetic algorithm for large unit commitment problems
    • Valenzuala, J. and Smith, A. E., 2002, A seeded memetic algorithm for large unit commitment problems, J. Heuristics, 8:173-196.
    • (2002) J. Heuristics , vol.8 , pp. 173-196
    • Valenzuala, J.1    Smith, A.E.2
  • 127
    • 0037952065 scopus 로고    scopus 로고
    • The impact of approximate evaluation on the performance of search algorithms for warehouse scheduling
    • Watson, J. P., Rana, S., Whitely, L. D. and Howe, A. E., 1999, The impact of approximate evaluation on the performance of search algorithms for warehouse scheduling, J. Scheduling, 2:79-98.
    • (1999) J. Scheduling , vol.2 , pp. 79-98
    • Watson, J.P.1    Rana, S.2    Whitely, L.D.3    Howe, A.E.4
  • 128
    • 0001214171 scopus 로고
    • Modeling hybrid genetic algorithms
    • G. Winter, J. Periaux, M. Galan and P. Cuesta, eds, Wiley, New York
    • Whitley, D., 1995, Modeling hybrid genetic algorithms, in Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan and P. Cuesta, eds, Wiley, New York, pp. 191-201.
    • (1995) Genetic Algorithms in Engineering and Computer Science , pp. 191-201
    • Whitley, D.1
  • 129
    • 2442538832 scopus 로고    scopus 로고
    • A genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm
    • Yu, T.-L., Goldberg, D. E., Yassine, A. and Chen, Y.-R, 2003, A genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm, Artificial Neural Networks in Engineering (ANNIE 2003), pp. 327-332.
    • (2003) Artificial Neural Networks in Engineering (ANNIE 2003) , pp. 327-332
    • Yu, T.-L.1    Goldberg, D.E.2    Yassine, A.3    Chen, Y.-R.4


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