| 一种基于多Agent的进化多目标优化算法 |
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| 引用本文： | 潘新,王小平.一种基于多Agent的进化多目标优化算法[J].计算机应用与软件,2006,23(3):12-14. |
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| 作者姓名： | 潘新 王小平 |
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| 作者单位： | 同济大学计算机科学与工程系,上海,200092;同济大学计算机科学与工程系,上海,200092 |
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| 摘 要： | 将进化多Agent系统引入多目标优化问题求解，通过Agent的局部搜索机制及Agent种群的协同进化机制来寻求Pareto最优解。在设计的进化算法当中借鉴了人工生命系统中的一些基本方法，如能量、小生境和迁移机制等。实例表明通过该进化算法求得Pareto最优解集具有很高的效率。
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| 关 键 词： | 多目标优化 进化计算 多Agent系统 Pareto最优解 |
| 收稿时间： | 12 14 2004 12:00AM |
| 修稿时间： | 2004-12-14 |
AN EVOLUTIONARY MULTI-AGENT ALGORITHM APPLIED TO THE MULTI-OBJECTIVE OPTIMIZATION PROBLEM |
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| Pan Xin,Wang Xiaoping.AN EVOLUTIONARY MULTI-AGENT ALGORITHM APPLIED TO THE MULTI-OBJECTIVE OPTIMIZATION PROBLEM[J].Computer Applications and Software,2006,23(3):12-14. |
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| Authors: | Pan Xin Wang Xiaoping |
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| Affiliation: | Department of Computer Science arid Engineering, Tongji University,Shanghai 200092, China |
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| Abstract: | An evolutionary multi-agent algorithm is proposed to search Pareto solutions to Multi-objective optimization problem.Characteristic of this algorithm is local selection of Agent and inter-Agent evolutionary cooperation.Some techniques used in artificial life system,including energy,niche and emigration,are incorporated in this evolutionary algorithm.A lot of tests show Pareto set can be obtained through using this evolutionary algorithm efficiently. |
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| Keywords: | Multi-objeetive optimization Evolutionary computation Multi-agent system Pareto set |
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