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Volumn 2439, Issue , 2002, Pages 23-32

Measuring the searched space to guide efficiency: The principle and evidence on constraint satisfaction

Author keywords

[No Author keywords available]

Indexed keywords

EFFICIENCY; EVOLUTIONARY ALGORITHMS;

EID: 35048835884     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45712-7_3     Document Type: Conference Paper
Times cited : (13)

References (10)
  • 2
    • 0002650901 scopus 로고
    • The interaction of mutation rate, selection, and self-adaptation within a genetic algorithm
    • R. Manner and B. Manderick, editors, Springer
    • T. Bäck. The interaction of mutation rate, selection, and self-adaptation within a genetic algorithm. In R. Manner and B. Manderick, editors, Parallel Problem Solving from Nature II, pages 85–94. Springer, 1992.
    • (1992) Parallel Problem Solving from Nature II , pp. 85-94
    • Bäck, T.1
  • 3
    • 0030107746 scopus 로고    scopus 로고
    • Problem structure heuristics and scaling behavior for genetic algorithms
    • S.H. Clearwater and T. Hogg. Problem structure heuristics and scaling behavior for genetic algorithms. Journal of Artificial Intelligence, 81:327–347, 1996.
    • (1996) Journal of Artificial Intelligence , vol.81 , pp. 327-347
    • Clearwater, S.H.1    Hogg, T.2
  • 6
    • 33751381392 scopus 로고    scopus 로고
    • A genetic local search algorithm for random binary constraint satisfaction problems
    • E. Marchiori and A. Steenbeek. A genetic local search algorithm for random binary constraint satisfaction problems. In ACM Symposium on Applied Computing, pages 458–462, 2000.
    • (2000) ACM Symposium on Applied Computing , pp. 458-462
    • Marchiori, E.1    Steenbeek, A.2
  • 7
    • 0002091030 scopus 로고
    • How genetic algorithms really work: Mutation and hill-climbing
    • R. Manner and B. Manderick, editors, Springer
    • H. Mühlenbein. How genetic algorithms really work: Mutation and hill-climbing. In R. Manner and B. Manderick, editors, Parallel Problem Solving from Nature II, pages 15–25. Springer, 1992.
    • (1992) Parallel Problem Solving from Nature II , pp. 15-25
    • Mühlenbein, H.1
  • 9
    • 84944340195 scopus 로고    scopus 로고
    • Leiden University, randomcsp version 1.5 edition
    • J.I. van Hemert. Documentation of the RandomCsp library. Leiden University, randomcsp version 1.5 edition, 2001. Available from http://www.liacs.nl/˜jvhemert/randomcsp.
    • (2001) Documentation of the Randomcsp Library
    • van Hemert, J.I.1
  • 10
    • 0003389370 scopus 로고
    • The genitor algorithm and selection pressure: Why rank-based allocation of reproductive trials is best
    • In J. David Schaffer, editor, San MateoCalifornia, Morgan Kaufmann Publishers, Inc
    • D. Whitley. The genitor algorithm and selection pressure: Why rank-based allocation of reproductive trials is best. In J. David Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms (ICGA’89), pages 116–123, San Mateo, California, 1989. Morgan Kaufmann Publishers, Inc.
    • (1989) Proceedings of the Third International Conference on Genetic Algorithms (ICGA’89), , pp. 116-123
    • Whitley, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.