论文信息 - On the effectiveness of crossover in simulated evolutionary optimization. - 字舞流文

On the effectiveness of crossover in simulated evolutionary optimization.

L. C. Stayton | D. Fogel | L. C. Stayton

[1] Dan Boneh,et al. On genetic algorithms , 1995, COLT '95.

[2] Z. Michalewicz,et al. A modified genetic algorithm for optimal control problems , 1992 .

[3] David B. Fogel,et al. Evolving artificial intelligence , 1992 .

[4] D. Fogel. System Identification Through Simulated Evolution: A Machine Learning Approach to Modeling , 1991 .

[5] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .

[6] May C. Chen. Toward a New Philosophy of Biology: Observations of an Evolutionist , 1990, The Yale Journal of Biology and Medicine.

[7] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[8] M. E. Johnson,et al. Generalized simulated annealing for function optimization , 1986 .

[9] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.

[10] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[11] Kenneth Alan De Jong,et al. An analysis of the behavior of a class of genetic adaptive systems. , 1975 .

[12] K. Dejong,et al. An analysis of the behavior of a class of genetic adaptive systems , 1975 .

[13] Lawrence J. Fogel,et al. Artificial Intelligence through Simulated Evolution , 1966 .