DocumentCode
2956156
Title
A genetic algorithm with double string for nonlinear integer programming problems
Author
Sakawa, M. ; Kato, K. ; Azad, Md.A.K. ; Watanabe, R.
Author_Institution
Graduate Sch. of Eng., Hiroshima Univ., Japan
Volume
4
fYear
2005
fDate
12-12 Oct. 2005
Firstpage
3281
Abstract
In this paper, we propose a genetic algorithm for nonlinear integer programming problems as an extension of genetic algorithms with double strings proposed for linear integer programming problems. The efficiency of the proposed genetic algorithm is shown by the comparison of it with one of other solution method through application to several numerical experiments.
Keywords
genetic algorithms; integer programming; nonlinear programming; genetic algorithm; linear integer programming problem; nonlinear integer programming; Character generation; Constraint optimization; Decision making; Genetic algorithms; Genetic engineering; Integer linear programming; Large-scale systems; Linear programming; Mathematical programming; Optimization methods; Nonlinear integer programming; continuous relaxation; double string; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Conference_Location
Waikoloa, HI
Print_ISBN
0-7803-9298-1
Type
conf
DOI
10.1109/ICSMC.2005.1571652
Filename
1571652
Link To Document