| 基于混合编码的多智能体遗传算法 |
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| 引用本文： | 王朝辉,张伟丰.基于混合编码的多智能体遗传算法[J].武汉科技大学学报(自然科学版),2006,29(6):603-606. |
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| 作者姓名： | 王朝辉 张伟丰 |
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| 作者单位： | 武汉科技大学计算机科学与技术学院,湖北,武汉,430081 |
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| 摘 要： | 为了提高多智能体遗传算法的收敛速度和全局寻优能力，将量子编码引入多智能体遗传算法中，对每个智能体同时采用量子编码和实数编码，以基于这两种编码方式的遗传算子同时进化来获得更快的收敛速度和更好的全局收敛性。仿真结果表明，此算法能更快地收敛到全局最优解。
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| 关 键 词： | 多智能体 遗传算法 量子进化 优化 |
| 文章编号： | 1672-3090(2006)06-0603-04 |
| 收稿时间： | 2006-06-20 |
| 修稿时间： | 2006年6月20日 |
Multi-Agent Genetic Algorithm Based on Mixed Coding |
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| WANG Zhao-hui,ZHANG Wei-feng.Multi-Agent Genetic Algorithm Based on Mixed Coding[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2006,29(6):603-606. |
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| Authors: | WANG Zhao-hui ZHANG Wei-feng |
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| Institution: | College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | To raise convergent speed and global search capacity of multi-agent genetic algorithm(MAGA),this paper introduces quantum coding to the MAGA.To every agent,quantum coding and real coding are used synchronously.And quicker convergence rate and better global astringency are obtained by means of the simultaneous evolution of genetic operators based on the two kinds of encoding method.The simulation results show that this algorithm can find the optimal solution more rapidly. |
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| Keywords: | multi-agent genetic algorithm quantum evolution optimization |
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