DocumentCode :
2955562
Title :
On linkage identification in EC for solving combinatorial optimization problems
Author :
Umezane, Shin´chiro ; Fujita, Satoshi
Author_Institution :
Graduate Sch. of Eng., Hiroshima Univ., Japan
Volume :
4
fYear :
2005
fDate :
10-12 Oct. 2005
Firstpage :
3071
Abstract :
This paper proposes a new linkage identification method based on the notion of evolution of linkages, which is designed for evolutionary computation schemes to solve combinatorial optimization problems (COP). Linkage identification is a task to identify an appropriate fragment of genes contained in a chromosome that is expected to significantly increase the fitness of the overall individuals. As a concrete target problem of the proposed scheme, we focus on the traveling salesman problem (TSP) that is known as a typical COP. The performance of the scheme is experimentally evaluated by using TSPLIB, and is compared with the performance of previous schemes. The result of experiments shows that the proposed scheme really improves the performance of the previous scheme, and the amount of improvement is 42.7% in the best case.
Keywords :
evolutionary computation; optimisation; travelling salesman problems; combinatorial optimization; evolutionary computation; linkage identification; traveling salesman problem; Biological cells; Concrete; Couplings; Design engineering; Design optimization; Evolutionary computation; Genetics; Power grids; Stability analysis; Traveling salesman problems; Evolutionary computation schemes; combinatorial optimization; linkage identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
Type :
conf
DOI :
10.1109/ICSMC.2005.1571617
Filename :
1571617
Link To Document :
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