| 噪声环境下函数优化问题的混合优化算法 |
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| 引用本文： | 岳娜,欧阳丹彤,张长胜,刘玉玺.噪声环境下函数优化问题的混合优化算法[J].吉林大学学报(理学版),2008,46(5):891-896. |
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| 作者姓名： | 岳娜 欧阳丹彤 张长胜 刘玉玺 |
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| 作者单位： | 吉林大学 计算机科学与技术学院, 长春 130012； 吉林大学 符号计算与知识工程教育部重点实验室, 长春 130012 |
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| 基金项目： | 国家自然科学基金，教育部跨世纪优秀人才培养计划 |
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| 摘 要： | 针对噪声环境下的函数优化问题提出一种混合粒子群优化算法UPSOOHT, 并考察了最优计算量分配（OCBA）和噪声幅度对算法性能的影响. 该算法将粒子群优化算法与假设检验及OCBA有效地结合, 具有很好的全局搜索能力和局部精化能力. 与其他优化算法比较的测试结果表明, UPSOOHT算法的性能和抗噪声能力都具有明显的优势.
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| 关 键 词： | 粒子群优化算法 噪声环境 函数优化 混合优化算法 |
| 收稿时间： | 2008-01-17 |
A Hybrid Optimization Algorithm for Function Optimization in Noisy Environment |
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| YUE Na,OUYANG Dan-tong,ZHANG Chang-sheng,LIU Yu-xi.A Hybrid Optimization Algorithm for Function Optimization in Noisy Environment[J].Journal of Jilin University: Sci Ed,2008,46(5):891-896. |
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| Authors: | YUE Na OUYANG Dan-tong ZHANG Chang-sheng LIU Yu-xi |
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| Institution: | College of Computer Science and Technology, Jilin University, Changchun 130012, China; Key Laboratory of Symbol Computation and Knowledge Engineer of Ministry of Education, Jilin University, Changchun 130012, China |
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| Abstract: | A hybrid algorithm was proposed to solve function optimization problems in noisy environment which combined the Unified Particle Swarm Optimization Scheme,hypothesis test and optimal computing budget allocation technique together.The algorithm has good abilities of exploration and exploitation.Numerical simulations based on several representative benchmark problems were carried out in noisy environment and a comparison was made between UPSOOHT and several popular algorithms.Additionally,the influences of OC... |
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| Keywords: | unified particle swarm optimization noisy environment function optimization hybrid optimization algorithm |
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