Application of Improved Genetic Algorithm in Partner Selection and Optimization for a Virtual Enterprise
改进遗传算法在虚拟企业伙伴选择与优化中的应用

In this paper,the partner selection and optimization problem with the objective of minimizing the manufacturing cost within the due date,in configuring a virtual enterprise,is described and modeled.To improve the searching performance for genetic algorithm,and satisfy the due data,an improved genetic algorithm(chromosome filtrating) is presented.That is replacing the infeasible chromosomes(i.e.the constraint of due date can not be satisfied) by the feasible chromosomes with higher fitness values.An illustrative example is presented to show the efficiency of the algorithm.