| PSO模型种群多样性与学习参数的关系研究 |
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| 引用本文： | 申元霞,王国胤,曾传华.PSO模型种群多样性与学习参数的关系研究[J].电子学报,2011,39(6):1238-1244. |
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| 作者姓名： | 申元霞 王国胤 曾传华 |
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| 作者单位： | 1. 重庆邮电大学计算机科学与技术研究所,重庆 400065;2. 安徽工业大学计算机科学学院,安徽马鞍山 243002 |
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| 基金项目： | 国家自然科学基金(No.60773113); 重庆市自然科学基金重点项目(No.2008BA2017); 重庆市杰出青年科学基金(No.2008BA2041); 重庆市重点实验室开放基金项目(No.CY-CNCL-2009-03) |
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| 摘 要： | 粒子群优化(Particle Swarm Optimzation,PSO)算法在求解复杂多峰问题时,易陷入早期收敛.通过调整惯性权重和加速系数来控制种群多样性是缓解PSO早期收敛的一个重要手段,但是目前对惯性权重和加速系数的设置主要依赖于实验设计,缺乏必要的理论支撑.针对该问题,本文提出了一种以种群未来的多样性变化调整...
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| 关 键 词： | 粒子群 早期收敛 种群多样性 惯性权重 加速系数 |
| 收稿时间： | 2010-04-16 |
Study on the Relationship Between Population Diversity and Learning Parameters in Particle Swarm Optimization |
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| SHEN Yuan-xia,WANG Guo-yin,ZENG Chuan-hua.Study on the Relationship Between Population Diversity and Learning Parameters in Particle Swarm Optimization[J].Acta Electronica Sinica,2011,39(6):1238-1244. |
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| Authors: | SHEN Yuan-xia WANG Guo-yin ZENG Chuan-hua |
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| Institution: | 1. Institute of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;2. School of Computer Science,Anhui University of Technology,Maanshan,Anhui243002,China |
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| Abstract: | PSO can easily suffer from the premature convergence when solving complex multimodal problems.It is an important method for relieving the premature convergence to control the population diversity by adjusting the inertia weight and acceleration coefficients.However,the setting of the inertia weight and acceleration coefficients is dependent on the design of experiments and lack of the support of the theory.To solve this problem,the new method is proposed in which the change of the prospective population div... |
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| Keywords: | premature convergence population diversity inertia weight acceleration coefficients |
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