| 一种自适应调节粒子群优化算法的研究 |
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| 引用本文： | 杨永生.一种自适应调节粒子群优化算法的研究[J].西安科技大学学报,2011,31(3). |
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| 作者姓名： | 杨永生 |
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| 作者单位： | 西安交通大学,轴承所,陕西,西安,710049;陕西省行政学院,计算机系,陕西,西安,710068 |
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| 摘 要： | 针对粒子群优化算法容易出现早熟收敛和稳定性低的现象,提出一种自适应调节的粒子群算法.算法中通过自适应调节适应度值的均匀分布保持种群的多样性,该策略能够提高算法的全局搜索能力,同时可避免阈值对算法稳定性的影响.另外采用自适应周期性变异的惯性权重对粒子的速度进行更新,可改善算法的局部搜索能力和稳定性.使用多维标准函数对改进的算法进行仿真试验,结果表明,算法具有较好的全局搜索精度和稳定性,避免了早熟收敛.
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| 关 键 词： | 粒子群优化 多样性 均匀分布 周期性变异 |
A particle swarm optimization algorithm with adaptive adjusting |
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| YANG Yong-sheng.A particle swarm optimization algorithm with adaptive adjusting[J].JOurnal of XI’an University of Science and Technology,2011,31(3). |
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| Authors: | YANG Yong-sheng |
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| Institution: | YANG Yong-sheng1,2(1.Theory of Lubrication and Bearing Institute,Xi'an Jiaotong University,Xi'an 710049,China,2.Dept.Computer Engineering,Shaanxi Administration Institute,Xi'an 710068,China) |
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| Abstract: | In order to overcome the premature convergence and low stability of the particle swarm optimization algorithm in the process of evolution,a particle swarm optimization algorithm with adaptive adjusting is introduced.In the algorithm,the uniformity distribution of the objective function fitness,which can maintain the diversity of the population,is adaptively adjusted.The strategy improves the global optimization ability of the algorithm,in which,the threshold constant can be avoided as much as possible,which... |
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| Keywords: | particle swarm optimization diversity uniformity distribution periodic mutation |
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