DocumentCode
2909780
Title
A comparative study of discrete differential evolution on binary constraint satisfaction problems
Author
Yang, Qingyun
Author_Institution
Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun
fYear
2008
fDate
1-6 June 2008
Firstpage
330
Lastpage
335
Abstract
There are some variants and applications of the discretization of differential evolution. Performances of discrete differential evolution algorithms on random binary constraint satisfaction problem are studied in this paper, and a novel discrete differential evolution algorithm based on exchanging elements is proposed. We compare the proposed discrete differential evolution, evolutionary algorithms and discrete particle swarm optimization on random binary constraint satisfaction problems. Experimental results indicate though the proposed algorithm is simpler, it is competitive with other evolutionary algorithms solving constraint satisfaction problems.
Keywords
constraint theory; evolutionary computation; discrete differential evolution; discrete particle swarm optimization; evolutionary algorithms; random binary constraint satisfaction problem; Artificial intelligence; Encoding; Evolutionary computation; Job shop scheduling; Natural language processing; Optimization methods; Particle swarm optimization; Process planning; Scheduling algorithm; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-1822-0
Electronic_ISBN
978-1-4244-1823-7
Type
conf
DOI
10.1109/CEC.2008.4630818
Filename
4630818
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