DocumentCode :
3251257
Title :
Survival of the sickest: a site-specific recombination operator for accelerated function optimization
Author :
Drake, Stephen ; Husbands, Phil
Author_Institution :
Sch. of Cognitive & Comput. Sci., Sussex Univ., Brighton, UK
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
1374
Abstract :
This paper describes experiments with a new crossover operator which is based on the mechanism of biological site-specific recombination. By using hill-climbing to gather additional information about the fitness landscape, it increases the constructive power of crossover. The nature of the operator calls for a somewhat unusual selection strategy which, in contrast with traditional methods, automatically selects a relatively unfit member of the population to be a parent. When applied to difficult continuous-variable function optimization problems, the operator is seen to perform better than standard one-point crossover in terms of quality of solutions found and its speed in finding them (as measured by the number of function evaluations carried out)
Keywords :
evolutionary computation; accelerated function optimization; continuous-variable function optimization; crossover operator; evolutionary algorithms; experiments; fitness landscape; function evaluations; hill-climbing; site-specific recombination operator; Acceleration; Algorithm design and analysis; Biology computing; Evolutionary computation; Genetic mutations; Measurement standards; Performance analysis; Performance evaluation; Time measurement; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location :
Seoul
Print_ISBN :
0-7803-6657-3
Type :
conf
DOI :
10.1109/CEC.2001.934351
Filename :
934351
Link To Document :
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