DocumentCode
507546
Title
Two Problems in Genetic Algorithm with Chromosome Differentiation
Author
Shuhai, Fan
Author_Institution
Dept. of Ind. Eng., Nanjing Univ. of Technol., Nanjing, China
Volume
2
fYear
2009
fDate
Nov. 30 2009-Dec. 1 2009
Firstpage
248
Lastpage
250
Abstract
Bandyopadhyay and Pal proposed an improved genetic search strategy, GACD, involving partitioning the chromosomes into two classes, and defining a restricted form of the crossover operator between the two classes. The GACD can be applied to many multi-dimensional pattern recognition problems. However, their GACD suffered from two kinds of problems, i.e. "sampling-without-replacement" and "mating-with-best-chromosome".
Keywords
biology computing; cellular biophysics; genetic algorithms; pattern recognition; GACD; chromosome differentiation; genetic algorithm; multidimensional pattern recognition; Biological cells; Genetic algorithms; Genetic mutations; Industrial engineering; Knowledge acquisition; Partitioning algorithms; Pattern recognition; Performance analysis; Terminology; Genetic Algorithm; Pattern Recognition; Restricted crossover; Schema theorem;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3888-4
Type
conf
DOI
10.1109/KAM.2009.311
Filename
5362070
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