| 云自适应粒子群优化算法在数值积分中的应用 |
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| 引用本文： | 梁莉莉,韦修喜.云自适应粒子群优化算法在数值积分中的应用[J].计算机工程与应用,2012,48(24):53-56,84. |
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| 作者姓名： | 梁莉莉 韦修喜 |
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| 作者单位： | 1. 广西民族大学理学院,南宁,530006
2. 广西国际商务职业技术学院信息工程系,南宁,530007 |
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| 基金项目： | 广西自然科学基金(No.0991086);广西教育厅科研项目(No.201010LX088);广西混杂计算与集成电路设计分析重点实验室资助 |
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| 摘 要： | 为了提高传统自适应粒子群优化算法的鲁棒性,由X条件云发生器自适应调整粒子的惯性权重,提出云自适应粒子群优化算法。由于云滴具有随机性和稳定倾向性的特点,使得惯性权重既具有传统的趋向性,满足快速寻优能力,又具有随机性,有利于提高种群的多样性,提高了收敛速度。通过对求解任意函数数值积分的实验表明,该算法计算精度高、求解速度快,是求解数值积分的一种有效的方法。
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| 关 键 词： | 云理论 自适应粒子群优化算法 云自适应粒子群优化算法 数值积分 |
Numerical integral method research based on Cloud Adaptive Particle Swarm Optimization algorithm |
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| LIANG Lili
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WEI Xiuxi.Numerical integral method research based on Cloud Adaptive Particle Swarm Optimization algorithm[J].Computer Engineering and Applications,2012,48(24):53-56,84. |
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| Authors: | LIANG Lili WEI Xiuxi |
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| Affiliation: | 1.School of Science,Guangxi University for Nationalities,Nanning 530006,China 2.Department of Information Engineering,Guangxi International Business Vocational College,Nanning 530007,China |
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| Abstract: | In order to improve robustness of the traditional adaptive particle swarm optimization algorithm,a novel adaptive algorithm which is called Cloud Adaptive Particle Swarm Optimization algorithm(CAPSO)is proposed.In the CAPSO,the inertia weight is adaptively varied depending on X-conditional cloud generator.CAPSO can improve its convergence capacity because of the stable tendency of cloud model.Meanwhile,it can remarkably avoid a local minimum using the randomness of cloud model to maintain diversity in the population.The performance of the CAPSO which is used for solving numerical integral of any function shows that the presented numerical integral algorithm has value in engineering practice. |
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| Keywords: | cloud theory Adaptive Particle Swarm Optimization algorithm(APSO) Cloud Adaptive Particle Swarm Optimization algorithm(CAPSO) numerical integral |
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