| 简化的自适应粒子群优化算法 |
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| 引用本文： | 张琪,杨淋淋,钱伟懿.简化的自适应粒子群优化算法[J].渤海大学学报(自然科学版),2011,32(2):105-108. |
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| 作者姓名： | 张琪 杨淋淋 钱伟懿 |
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| 作者单位： | 渤海大学数理学院,辽宁锦州,121013 |
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| 基金项目： | 辽宁省自然科学基金资助项目 |
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| 摘 要： | 胡旺等人在2007年提出了一种简化粒子群优化算法,基于他的思想,我们给出一个简化自适应粒子群优化算法,在该算法中权重采用标准粒子群算法的自适应权重公式,但是权重的最大值根据解的进化情况不断更新,解改进的成功率的越大权重最大值增大,反之,解改进的成功率的越小权重最大值减小.最后,通过几个典型例子对给出的算法进行检验并与其...
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| 关 键 词： | 粒子群优化算法 权重 自适应 |
A simplified adaptive particle swarm optimization algorithm |
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| ZHANG Qi,YANG Lin-lin,QIAN Wei-yi.A simplified adaptive particle swarm optimization algorithm[J].Journal of Bohai University:Natural Science Edition,2011,32(2):105-108. |
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| Authors: | ZHANG Qi YANG Lin-lin QIAN Wei-yi |
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| Institution: | ZHANG Qi,YANG Lin-lin,QIAN Wei-yi(College of Mathematics and Phgsics,Bohai University,Jinzhou 121013,China) |
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| Abstract: | In 2007,Hu Wang proposed a simplified particle swarm optimization(siPSO).A simplified adaptive PSO algorithm,based on his theory,is given in this paper.In this algorithm,the weight uses the weight formula of standard PSO,but the maximum of weight is updated based on evolution of the situations.The greater is the success rate of evolution of the situations,the greater is the maximum of weight.On the contrary,the smaller is the success rate of evolution of the situations,the smaller is the maximum of weight.F... |
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| Keywords: | Particle swarm optimization weight adaptive |
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