DocumentCode :
3728390
Title :
Multi-point Search Combinatorial Optimization Method Based on Neighborhood Search Using Evaluation of Big Valley Structure
Author :
Masahide Morita;Hiroki Ochiai;Kenichi Tamura;Keiichiro Yasuda
Author_Institution :
Dept. of Electr. &
fYear :
2015
Firstpage :
2835
Lastpage :
2840
Abstract :
A big valley structure is known to exist as the landscape of solution-objective function value spaces in a multitude of combinatorial optimization problems. However, this paper proposes new meta-heuristics for combinatorial optimization problems based on the degree of establishment of the big valley structure. The performance of the proposed combinatorial optimization method is verified through simulations by employing two types of typical benchmark problems.
Keywords :
"Linear programming","Correlation","Complexity theory","Optimization methods","Search problems","Benchmark testing"
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/SMC.2015.494
Filename :
7379626
Link To Document :
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