| 改进遗传算法在虚拟企业伙伴选择与优化中的应用 |
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| 引用本文： | 苏平,伍乃骐,于兆勤,余强.改进遗传算法在虚拟企业伙伴选择与优化中的应用[J].系统工程理论与实践,2006,26(12):85-92. |
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| 作者姓名： | 苏平 伍乃骐 于兆勤 余强 |
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| 作者单位： | 1. 广东工业大学,机电学院,广州,510090
2. 东北大学,信息科学与工程学院,沈阳,110004 |
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| 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.
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| 关 键 词： | 虚拟企业 伙伴选择 遗传算法 |
| 文章编号： | 1000-6788(2006)12-0085-08 |
| 修稿时间： | 2005年10月17 |
Application of Improved Genetic Algorithm in Partner Selection and Optimization for a Virtual Enterprise |
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| SU Ping,WU Nai-qi,YU Zhao-qin,YU Qiang.Application of Improved Genetic Algorithm in Partner Selection and Optimization for a Virtual Enterprise[J].Systems Engineering —Theory & Practice,2006,26(12):85-92. |
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| Authors: | SU Ping WU Nai-qi YU Zhao-qin YU Qiang |
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| 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. |
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| Keywords: | virtual enterprise partner selection genetic algorithm |
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