Application of Self-Adaptive Genetic Algorithm on Allocating International Demand to Global Production Facilities

Abstract

It is very important for managers to make correct producing decisions quickly in enhancing competitiveness capabilities. Besides traditional methods making decisions by humans' experiences, some scholars provided a way to make decisions by using genetic algorithm for analyzing tools of the decision support system. However, there are some drawbacks in traditional genetic algorithm (or simple genetic algorithm). The results created by traditional genetic algorithm are usually unstable, and it is impossible for managers to adjust calculating parameters. Thus, we used self-adaptive genetic algorithm as the analytic tools of global decision support system, and the result fulfilled the requests of a real global company for garment manufacturing.