| 一种搜索空间自适应变化的自适应粒子群算法 |
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| 引用本文： | 沈锡,胡江强,尹建川.一种搜索空间自适应变化的自适应粒子群算法[J].大连海事大学学报(自然科学版),2011,37(1):103-106. |
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| 作者姓名： | 沈锡 胡江强 尹建川 |
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| 作者单位： | 大连海事大学航海学院; |
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| 基金项目： | 国家自然科学基金资助项目(60874056;60774046); 中央高校基本科研业务费专项资金资助项目(2009JC02;2009QN010;2009QN006) |
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| 摘 要： | 提出一种搜索空间自适应的自适应粒子群优化算法.该算法对不同等级的粒子适应值采取不同的惯性权重,并随着算法的迭代不断缩小粒子群的搜索空间.同时,选择当前代的较优部分粒子直接进入下一代,其他粒子通过在缩小的搜索空间内随机生成,加快了种群收敛速度,同时又能使种群不断跳出局部最优解.几种典型函数的仿真实验表明,该算法在收敛速度...
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| 关 键 词： | 粒子群优化 自适应 惯性权重 搜索空间 |
A adaptive particle swarm optimization algorithm with adaptive linear decreasing search space |
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| SHEN Xi,HU Jiangqiang,YIN Jianchuan.A adaptive particle swarm optimization algorithm with adaptive linear decreasing search space[J].Journal of Dalian Maritime University,2011,37(1):103-106. |
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| Authors: | SHEN Xi HU Jiangqiang YIN Jianchuan |
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| Institution: | SHEN Xi,HU Jiangqiang,YIN Jianchuan(Navigation College,Dalian Maritime University,Dalian 116026,China) |
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| Abstract: | A particle swarm optimization algorithm with adaptive linear decreasing search space was proposed.The algorithm implemented adaptive inertia weight for different levels of particles' fitness,and shrinked the search space during the running time.The best part of particles were chosen and propagated directly to the next generation of particles,the others were randomly generated within the reduced search space.The approach can speed up the convergence rate of population,while enables the population to jump out... |
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| Keywords: | particle swarm optimization(PSO) self-adaption inertia weight search space |
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