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Volumn 28, Issue 7, 1997, Pages 425-435

Using standard fitnesses with genetic algorithms

Author keywords

[No Author keywords available]

Indexed keywords

PROBLEM SOLVING;

EID: 0031258924     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0965-9978(97)00016-1     Document Type: Article
Times cited : (6)

References (12)
  • 6
    • 0002600702 scopus 로고
    • Adaptive selection methods for genetic algorithms
    • ed. J. J. Grefenstette. L. Erlbaum Associates, original proceedings
    • Baker, J. E., Adaptive selection methods for genetic algorithms. Proceedings of the 1st International Conference on GAs and their Applications, ed. J. J. Grefenstette. L. Erlbaum Associates, 1988; original proceedings 1985, pp. 101-111.
    • (1985) Proceedings of the 1st International Conference on GAs and Their Applications , pp. 101-111
    • Baker, J.E.1
  • 7
    • 0003389370 scopus 로고
    • The genitor algorithm and selective pressure: Why rank-based allocation of reproductive trials is best
    • ed. J. D. Schaffer. Morgan Kaufmann, New York
    • Whitley, D., The genitor algorithm and selective pressure: why rank-based allocation of reproductive trials is best. Proceedings of the 3rd International Conference on GAs, ed. J. D. Schaffer. Morgan Kaufmann, New York, 1989, pp. 116-121.
    • (1989) Proceedings of the 3rd International Conference on GAs , pp. 116-121
    • Whitley, D.1
  • 10
    • 0002859330 scopus 로고
    • How genetic algorithms work: A critical look at implicit parallelisms
    • ed. J. D. Schaffer. Morgan Kaufmann, New York
    • Grefenstette, J. J. and Baker, J. E., How genetic algorithms work: a critical look at implicit parallelisms. Proceedings of the 3rd International Conference on G As, ed. J. D. Schaffer. Morgan Kaufmann, New York, 1989, pp. 20-27.
    • (1989) Proceedings of the 3rd International Conference on GAs , pp. 20-27
    • Grefenstette, J.J.1    Baker, J.E.2
  • 11
    • 0002346490 scopus 로고
    • A study of control parameters affecting online performance of genetic algorithms for function optimization
    • ed. J. D. Schaffer. Morgan Kaufmann, New York
    • Schaffer, J. D., Caruana, R. A., Eshelman, L. J. and Das, R., A study of control parameters affecting online performance of genetic algorithms for function optimization. Proceedings of the 3rd International Conference on GAs, ed. J. D. Schaffer. Morgan Kaufmann, New York, 1989, pp. 51-60.
    • (1989) Proceedings of the 3rd International Conference on GAs , pp. 51-60
    • Schaffer, J.D.1    Caruana, R.A.2    Eshelman, L.J.3    Das, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.