Title :
A comparative study of discrete differential evolution on binary constraint satisfaction problems
Author_Institution :
Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun
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;
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
DOI :
10.1109/CEC.2008.4630818