| 基于证据理论和遗传算法的动态联盟伙伴优化选择 |
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| 引用本文： | 许学斌. 基于证据理论和遗传算法的动态联盟伙伴优化选择[J]. 计算机工程与应用, 2004, 40(16): 87-90 |
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| 作者姓名： | 许学斌 |
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| 作者单位： | 清华大学,北京,100084 |
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| 摘 要： | 动态联盟的关键问题是伙伴选择问题。文章构造了动态联盟伙伴选择问题的数学模型,提出了一种基于证据理论和遗传算法的动态联盟伙伴选择的两阶段优化方法,实现了动态联盟伙伴的优化选择。
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| 关 键 词： | 数据融合 证据理论 遗传算法 动态联盟 两阶段优化 |
| 文章编号： | 1002-8331-(2004)16-0087-04 |
Optimization Method for Selecting Partners in Dynamic Alliance Based on Evidential Theory and Genetic Algorithms |
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| Xu Xuebin. Optimization Method for Selecting Partners in Dynamic Alliance Based on Evidential Theory and Genetic Algorithms[J]. Computer Engineering and Applications, 2004, 40(16): 87-90 |
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| Authors: | Xu Xuebin |
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| Abstract: | The main problem of Dynamic Alliance is the problem of selecting partners.A partners-selection optimization mathematic model is proposed.This paper makes use of the optimization methods Based on Evidential Theory and Ge-netic Algorithms in two phase to solve the problem of selecting partners in Dynamic Alliance. |
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| Keywords: | data fusion evidential theory genetic algorithms dynamic alliance optimization in two phase |
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