摘要: … There are a variety of evolutionary computational models that have been proposed and … as evolutionary algorithms. They share a common conceptual base of simulating the evolution of …
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acm.org 参考文章(41)
J. David Schaffer, Larry J. Eshelman, Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. international conference on genetic algorithms. pp. 115- 122 ,(1991)
Amy Morishima, J. David Schaffer, An adaptive crossover distribution mechanism for genetic algorithms international conference on genetic algorithms. pp. 36- 40 ,(1987)
Piet Spiessens, Bernard Manderick, Mark K. de Weger, The Genetic Algorithm and the Structure of the Fitness Landscape. ICGA. pp. 143- 150 ,(1991)
Stephen F. Smith, Flexible learning of problem solving heuristics through adaptive search international joint conference on artificial intelligence. pp. 422- 425 ,(1983)
Cezary Zygmunt Janikow, Inductive learning of decision rules from attribute-based examples: a knowledge-intensive genetic algorithm approach University of North Carolina at Chapel Hill. ,(1992)
Thomas Bäck, Hans-Paul Schwefel, Frank Hoffmeister, A Survey of Evolution Strategies. ICGA. pp. 2- 9 ,(1991)
Craig G. Shaefer, The ARGOT strategy: adaptive representation genetic optimizer technique international conference on genetic algorithms. pp. 50- 58 ,(1987)
L. Darrell Whitley, Keith E. Mathias, Patrick A. Fitzhorn, Delta Coding: An Iterative Search Strategy for Genetic Algorithms. ICGA. pp. 77- 84 ,(1991)
Bradley Korb, David E. Goldberg, Kalyanmoy Deb, Don't Worry, Be Messy. international conference on genetic algorithms. pp. 24- 30 ,(1991)
J. David Schaffer, Larry J. Eshelman, On Crossover as an Evolutionarily Viable Strategy. ICGA. pp. 61- 68 ,(1991)