A genetic algorithm with double string for nonlinear integer programming problems

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.