| 基于时变系数与社会认知模拟的粒子群优化 |
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| 引用本文： | 曲彦文,张二华,杨静宇.基于时变系数与社会认知模拟的粒子群优化[J].计算机科学,2009,36(5):220-222. |
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| 作者姓名： | 曲彦文 张二华 杨静宇 |
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| 作者单位： | 南京理工大学计算机科学与技术学院,南京,210094 |
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| 摘 要： | 粒子群优化算法利用一群在可行区域内飞行的粒子来搜索最优解,具有易实现、收敛速度快的特点,然而也面临"早熟"的问题.提出了一种基于时变系数与社会认知模拟的粒子群优化算法.实验结果显示,在5种不同的标准化测试函数下,新算法较另外3种常用的算法优越.
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| 关 键 词： | 粒子群优化 时变系数 社会认知 |
| 收稿时间： | 2008/6/24 0:00:00 |
Particle Swarm Optimization Based on Time Varying Coefficients and Social Cognitive Simulation |
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| QU Yan-wen ZHANG Er-hua YANG Jing-yu.Particle Swarm Optimization Based on Time Varying Coefficients and Social Cognitive Simulation[J].Computer Science,2009,36(5):220-222. |
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| Authors: | QU Yan-wen ZHANG Er-hua YANG Jing-yu |
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| Affiliation: | School of Computer Science and Technology;Nanjing University of Science and Technology;Nanjing 210094;China |
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| Abstract: | Particle Swarm Optimization(PSO) uses a swarm of flying particles to search an optimal solution in the feasible region.PSO is easy to implement,and it appears high convergence speed in many applications.However,PSO has the problem of premature convergence.A modified PSO based on Time Varying Coefficients and Social Cognitive Simulation(PSO-TVCSCS) was proposed.Five different benchmark functions were used to test the performance of PSO-TVCSCS.Experimental results show that PSO-TVCSCS works better than three ... |
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| Keywords: | Particle swarm optimization Time varying coefficient Social cognitive |
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