DocumentCode :
460782
Title :
Survival and Construction Theory for One-Point Crossover
Author :
Ming, Liang ; Wang, Yuping
Author_Institution :
Sch. of Sci., Xidian Univ., Xi´´an
Volume :
1
fYear :
2006
fDate :
Nov. 2006
Firstpage :
197
Lastpage :
201
Abstract :
As a fundamental operator in genetic algorithms (GAs), crossover may not only make an existing schema survived, but also construct a new one from other existing schemata. Unfortunately, the traditional schema theorem (Holland 1975) does not take into account the positive effects of a schema construction through crossover operation. Thus, they can not well characterize the evolution of a schema. In this paper we first propose a new ternary representation, through which the survival and construction of a schema can be easily distinguished. Subsequently, we discuss the survival theory and construction one for one-point crossover. It deepens and generalizes the existing results on schema theorems
Keywords :
genetic algorithms; mathematical operators; construction theory; genetic algorithm; one-point crossover operator; survival theory; ternary representation; Adaptive control; Artificial neural networks; Biological cells; Computer science; Fuzzy systems; Genetic algorithms; Machine learning; Machine learning algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
Type :
conf
DOI :
10.1109/ICCIAS.2006.294121
Filename :
4072074
Link To Document :
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