SCIS & ISIS
SCIS & ISIS 2006
Session ID : TH-E2-5
Conference information

TH-E2 Evolutionary Computation
Gene Linkage Identification During Local Search for Permutation Problems
*Tadahiko MurataSatoshi Miyata
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Abstract
This paper proposes a gene linkage identification method during local search for permutation problems. Linkage is defined as the tightness of loci in a chromosome. In the literature, many studies on linkage are devoted to binary-coded chromosomes. We have proposed an idea to identify the gene linkage in permutation problems where a chromosome is represented by a permutation of different alleles. We extend our proposed method to identify gene linkage during local search. Using our extension, we improve the performance of genetic local search to find near-optimal solution in flowshop scheduling problems.
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© 2006 Japan Society for Fuzzy Theory and Intelligent Informatics
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