| 基于蚁群算法的动态联盟伙伴选择研究 |
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| 引用本文： | 甘屹,齐从谦,杜继涛.基于蚁群算法的动态联盟伙伴选择研究[J].系统仿真学报,2006,18(2):517-520,525. |
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| 作者姓名： | 甘屹 齐从谦 杜继涛 |
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| 作者单位： | 1. 上海理工大学机械工程学院,上海,200093
2. 同济大学现代教育技术中心,上海,200031 |
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| 基金项目： | 中国科学院资助项目;上海理工大学校科研和教改项目 |
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| 摘 要： | 提出“小生境蚁群算法”（MACO），在利用正反馈的同时，引入时变参数来利用经验信息和启发信息，并在局部寻优时结合了小生境信息盖的思想，从而有效地防止遗传算法中出现的“早熟”问题和蚂蚁算法中发生的“停滞”状态。把制造企业动态联盟合作伙伴的选择抽象为多目标优化的问题，并建立了优化选择目标函数。运用MACO解算选择合作伙伴的多目标问题，获得最优解。
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| 关 键 词： | 小生境蚁群算法 小生境信息差 动态联盟伙伴选择 多目标优化 |
| 文章编号： | 1004-731X（2006）02-0517-04 |
| 收稿时间： | 2004-12-17 |
| 修稿时间： | 2004-12-172005-10-12 |
Studies on Selecting Partners of Enterprises Dynamic Alliance Based on ACO |
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| GAN Yi,QI Cong-qian,DU Ji-tao.Studies on Selecting Partners of Enterprises Dynamic Alliance Based on ACO[J].Journal of System Simulation,2006,18(2):517-520,525. |
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| Authors: | GAN Yi QI Cong-qian DU Ji-tao |
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| Affiliation: | 1.College of Meehanieai Engineering, University of Shanghai for Science and Teehnolog |
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| Abstract: | The Microhabitat Ant Colony Optimization(MACO) algorithm was built up.When positive feedback being used,MACO made use of experience information and heuristic information with time parameters,and combined Microhabitat Information Differece when local being optimized,without running into the precocity of Genetic Algorithms and the stagnation of the basic ant algorithm.The selecting partners of the manufacturing enterprises dynamic alliance being the problem of multi-target optimizing,the target function of optimizing selecting was created.The problem of multi-target optimizing of the selecting partners was sloved with MACO.And the optimized answer was achieved. |
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| Keywords: | microhabitat ant colony optimization microhabitat information differece selecting partners of enterprises dynamic alliance multi-target optimizing |
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