| 采用随机变异步长的改进自组织迁移算法 |
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| 引用本文： | 柯晶,李歧强,乔谊正.采用随机变异步长的改进自组织迁移算法[J].计算机工程与应用,2006,42(35):41-44. |
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| 作者姓名： | 柯晶 李歧强 乔谊正 |
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| 作者单位： | 山东大学,控制科学与工程学院,济南,250061 |
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| 基金项目： | 山东省优秀中青年科学家科研奖励基金;山东省自然科学基金 |
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| 摘 要： | 自组织迁移算法是一种新型的进化算法。对自组织迁移算法的原理、实现及策略参数设置进行了详细分析,在此基础上提出了一种改进算法。通过在个体迁移过程中引入随机变异步长,寻优个体的行为变得多样化,加速了群体在多峰复杂空间中的寻优进程。仿真结果显示,该算法优于原自组织迁移算法和粒子群优化算法。
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| 关 键 词： | 优化 进化算法 自组织迁移算法 变异 |
| 文章编号： | 1002-8331（2006）35-0041-04 |
| 收稿时间： | 2006-03 |
| 修稿时间： | 2006-03 |
Modified Self-Organizing Migrating Algorithm with Random Mutation Step |
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| KE Jing,LI Qi-qiang,QIAO Yi-zheng.Modified Self-Organizing Migrating Algorithm with Random Mutation Step[J].Computer Engineering and Applications,2006,42(35):41-44. |
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| Authors: | KE Jing LI Qi-qiang QIAO Yi-zheng |
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| Affiliation: | School of Control Science and Engineering,Shandong University,Jinan 250061,China |
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| Abstract: | Self-organizing migrating algorithm is a new evolutionary algorithm.The principles,implementation and strategy parameters setting of the self-organizing migrating algorithm are analyzed in detail.A modified self-organizing migrating algorithm is proposed based on the analysis.With the introduction of random mutation step in the individual migration procedure,the individuals' behavior becomes versatile and the population-based search process in multi-modal complex space is accelerated.Simulation results reveal that the proposed algorithm is better than the original self-organizing migrating algorithm and the particle swarm optimization algorithm. |
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| Keywords: | optimization evolutionary algorithm self-organizing migrating algorithm mutation |
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