| 自适应粒子群算法求解Agent联盟 |
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| 引用本文： | 蒋建国,吴琼,夏娜.自适应粒子群算法求解Agent联盟[J].智能系统学报,2007,2(2):69-73. |
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| 作者姓名： | 蒋建国 吴琼 夏娜 |
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| 作者单位： | 合肥工业大学计算机与信息学院 安徽 合肥 230009 |
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| 基金项目： | 国家自然科学基金资助项目（60474035）. |
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| 摘 要： | 联盟生成是多Agent系统的一个关键问题,主要研究如何在多Agent系统中动态生成面向任务的最优Agent联盟.引入粒子群算法来解决这一问题,受到惯性权重c0在进化过程中所起作用的启发,引入自适应惯性权重cadp对粒子群算法进行改进,使其不再易于陷入局部极小.对比实验结果表明,该算法在解的性能和收敛速度上均优于相关算法.
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| 关 键 词： | 多Agent系统 粒子群优化算法 自适应粒子群算法 联盟 |
| 文章编号： | 1673-4785（2007）02-0069-05 |
| 修稿时间： | 2006-10-12 |
Solving Agent coalition using adaptive particle swarm optimization algorithm |
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| JIANG Jian-guo,WU Qiong,XIA Na.Solving Agent coalition using adaptive particle swarm optimization algorithm[J].CAAL Transactions on Intelligent Systems,2007,2(2):69-73. |
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| Authors: | JIANG Jian-guo WU Qiong XIA Na |
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| Affiliation: | College of Computer and Information, Hefei University of Technology, Hefei 2300 09, China |
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| Abstract: | Coalition Generation is a key issue in a Multi Agent System which prim arily focuses on generation of an optimal task oriented coalition in a dynamic m anner. A particle swarm optimization (PSO) algorithm is adopted to solve the pro blem. And a novel “adaptive inertia weight” is proposed to improve PSO b y the illumination of function of inertia weight ,so as to avoid falling into lo cal minimum. The results of comparison experiments show that this algorithm is s uperior to other related methods in both performance of solution and convergence rate. |
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| Keywords: | MAS PSO algorithm adaptive particle swarm optlmization coalition |
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