Empirical Investigation of Multiparent Recombination Operators in Evolution Strategies

被引:67
作者
Eiben, Agoston E. [1 ]
Baeck, Thomas [1 ,2 ]
机构
[1] Leiden Univ, Dept Math & Comp Sci, NL-2333 CA Leiden, Netherlands
[2] Ctr Appl Syst Anal, Informat Ctr Dortmund, D-44227 Dortmund, Germany
关键词
Evolution strategies; parameter optimization; multiparent recombination; skewed initialization;
D O I
10.1162/evco.1997.5.3.347
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An extension of evolution strategies to multiparent recombination involving a variable number e of parents to create an offspring individual is proposed. The extension is experimentally evaluated on a test suite of functions differing in their modality and separability and the regular/irregular arrangement of their local optima. Multiparent diagonal crossover and uniform scanning crossover and a multiparent version of intermediary recombination are considered in the experiments. The performance of the algorithm is observed to depend on the particular combination of recombination operator and objective function. In most of the cases a significant increase in performance is observed as the number of parents increases. However, there might also be no significant impact of recombination at all, and for one of the unimodal objective functions, the performance is observed to deteriorate over the course of evolution for certain choices of the recombination operator and the number of parents. Additional experiments with a skewed initialization of the population clarify that intermediary recombination does not cause a search bias toward the origin of the coordinate system in the case of domains of variables that are symmetric around zero.
引用
收藏
页码:347 / 365
页数:19
相关论文
共 32 条
[1]  
[Anonymous], 1966, NATURAL AUTOMATA USE
[2]  
[Anonymous], P 4 INT C GEN ALG
[3]  
[Anonymous], 1991, 4th International Conference on Genetic Algorithms
[4]  
Back T., 1997, Handbook of evolutionary computation
[5]  
Back T., 1997, HDB EVOLUTIONARY COM, pB27
[6]  
Back T, 1996, EVOLUTIONARY ALGORIT
[7]   An Overview of Evolutionary Algorithms for Parameter Optimization [J].
Baeck, Thomas ;
Schwefel, Hans-Paul .
EVOLUTIONARY COMPUTATION, 1993, 1 (01) :1-23
[8]   Results of the first international contest on evolutionary optimisation (1st ICEO) [J].
Bersini, H ;
Dorigo, M ;
Langerman, S ;
Seront, G ;
Gambardella, L .
1996 IEEE INTERNATIONAL CONFERENCE ON EVOLUTIONARY COMPUTATION (ICEC '96), PROCEEDINGS OF, 1996, :611-615
[9]   Toward a Theory of Evolution Strategies: On the Benefits of Sex- the (mu/mu, lambda) Theory [J].
Beyer, Hans-Georg .
EVOLUTIONARY COMPUTATION, 1995, 3 (01) :81-111
[10]  
Eiben A., 1996, LECT NOTES COMPUTER, V1141, P319