| 减少速度更新频率的混沌粒子群算法 |
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| 引用本文： | 薛利敏,;李丽丽.减少速度更新频率的混沌粒子群算法[J].西北纺织工学院学报,2008(4):513-516. |
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| 作者姓名： | 薛利敏 ;李丽丽 |
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| 作者单位： | [1]渭南师范学院数学与信息科学系,陕西渭南714000; [2]西安工程大学理学院,陕西西安710048 |
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| 基金项目： | 渭南师范学院科研基金资助项目（08YKS021） |
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| 摘 要： | 把速度更新策略和混沌优化相结合，提出了减少速度更新频率的混沌粒子群算法．该算法根据群体适应值的方差进行早熟收敛判断，从而使算法摆脱后期易于陷入局部最优点的束缚，同时又保持前期优秀的搜索速度的特性．通过几个基准函数测试，结果表明，新算法的性能较基本粒子群优化算法有明显的改善．
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| 关 键 词： | 粒子群 进化计算 混沌优化 速度更新策略 |
Computation method for chaos particle swarm optimization based on relaxation velocity update frequency |
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| Affiliation: | XUE Li-min ,LI Li-li (Department of Mathematics,Weinan Teachers College,Weinan,Shaanxi 714000,China; 2. School of Science, Xi＇ an Polytechnic University, Xi＇ an 710048, China) |
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| Abstract: | Combining relaxation velocity update frequency and chaos optimization, a chaos particle swarm optimization was proposed based on relaxation velocity update frequency （CRVUPSO）. The algorithm adapts the swarm fitness＇ variance to implement the prematurity judgment, thus enabling algorithm break away from the shackles of local optimization. Simultaneously, the previous velocity characteristics was saved. Through tests several benchmark function,it is indicated that the performance of the new algorithm has significant improvement than the basic PSO, the search speed is quick, the computational accuracy is high. |
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| Keywords: | particle swarm optimization evolutionary computation chaos optimization velocity update frequency |
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