DocumentCode :
2961927
Title :
A new schema theorem for uniform crossover based on ternary representation
Author :
Ming, Liang ; Wang, Yu-Ping ; Cheung, Yiu-Ming
Author_Institution :
Fac. of Sci., Xidian Univ., Xi´´an, China
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
235
Lastpage :
239
Abstract :
Crossover is a fundamental operator in genetic algorithms, through which not only an existing schema may be either eliminated or survived, but also a new schema is constructed via other existing schemata. Unfortunately the traditional schema theorem (Holland, J.H., 1975) does not take into account the positive effects of a schema construction through crossover operation. Recently, some works have been done by considering the schema construction, but they could not well characterize the evolution of a schema via crossover. We propose a new representation of a schema, called ternary representation, through which the survival and construction probabilities of a schema are given out. Eventually, we present a new improved schema theorem that considers both schema survival and construction in a uniform crossover.
Keywords :
genetic algorithms; mathematical operators; genetic algorithms; schema construction probability; schema representation; schema survival probability; schema theorem; ternary representation; uniform crossover; Adaptive control; Artificial neural networks; Computer science; Fuzzy systems; Genetic algorithms; Machine learning; Machine learning algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004
Print_ISBN :
0-7803-8894-1
Type :
conf
DOI :
10.1109/ISSNIP.2004.1417468
Filename :
1417468
Link To Document :
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