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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Conference_Location :
Waikoloa, HI
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571652
