| 一种新的信赖域粒子群算法 |
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| 引用本文： | 卢雪燕,周永权. 一种新的信赖域粒子群算法[J]. 计算机工程与科学, 2009, 31(5) |
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| 作者姓名： | 卢雪燕 周永权 |
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| 作者单位： | 广西民族大学数学与计算机科学学院,广西,南宁,530006;梧州学院计算机与电子信息工程系,广西,梧州,543002;广西民族大学数学与计算机科学学院,广西,南宁,530006 |
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| 基金项目： | 国家民委科研项目，广西自然科学基金，广西民族大学研究生教育创新计划项目，梧州学院青年基金 |
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| 摘 要： | 针对信赖域方法求解多峰值优化不能收敛到全局最优的问题,本文提出了一种新的信赖域粒子群算法。该算法将信赖域方法和粒子群算法进行有机结合,利用了粒子群搜索性能良好和信赖域方法总体收敛性良好的优点。新算法能够克服信赖域方法的缺点,同时又能有效求解一类欺骗性问题。数值实验说明了算法的有效性和鲁棒性。
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| 关 键 词： | 信赖域 粒子群算法 收敛性 欺骗性 |
A Novel Particle Swarm Optimization Algorithm Based on the Trust Region |
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| LU Xue-yan,ZHOU Yong-quan. A Novel Particle Swarm Optimization Algorithm Based on the Trust Region[J]. Computer Engineering & Science, 2009, 31(5) |
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| Authors: | LU Xue-yan ZHOU Yong-quan |
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| Affiliation: | 1.School of Mathematics and Computer Science;Guangxi University for Nationalities;Nanning 530006;2.Department of Computer and Electronic Information Engineering;Wuzhou University;Wuzhou 543002;China |
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| Abstract: | To overcome the shortcoming of the general trust region method which cannot converge the global optimum of the multiple peak value optimization problem.A novel particle swarm optimization algorithm based on the trust region method is presented,which combines the trust region method and the particle swarm optimization algorithm.Using particle swarm optimization with random searching in local fields and the high efficiency of the trust region method to solve quadratic optimizations,the proposed algorithm can ... |
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| Keywords: | trust region particle swarm optimization algorithm convergence deceptive problem |
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