【摘要】 对虚拟企业构建中在满足产品交货期约束下,以成本最低为目标的合作伙伴选择与优化问题进行了描述,给出了数学模型.为提高遗传算法搜索性能,同时满足产品交货期约束,提出了一种改进的遗传算法———染色体过滤法,即以高适应度可行染色体取代不可行染色体(不能满足交货期约束),通过案例分析验证了方法的有效性.更多还原

【Abstract】 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.更多还原