| 基于动态群体的聚集演化求解多峰函数优化问题 |
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| 引用本文： | 覃俊,康立山. 基于动态群体的聚集演化求解多峰函数优化问题[J]. 中南民族大学学报(自然科学版), 2003, 22(2): 56-59 |
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| 作者姓名： | 覃俊 康立山 |
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| 作者单位： | 1. 中南民族大学计算机科学学院
2. 武汉大学软件工程国家重点实验室 |
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| 基金项目： | 国家自然科学基金资助项目 (6 96 35 0 30，6 0 0 730 4 3，70 0 71 0 4 2 ) |
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| 摘 要： | 指出了现有的演化算法框架都是群体固定的演化迭代过程，对求解多峰函数优化问题时由于无法事先得知峰值点的个数而很难确定合适的群体大小，影响了算法的效率，提出了一种群体动态可调的演化方式，使得初始群体大小可任意指定，在演化过程中通过聚集和按比例引入新个体两个过程而动态变化。实验表明，该算法能尽可能多地定位峰值点。
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| 关 键 词： | 动态群体 演化算法 多峰函数 优化问题 |
| 文章编号： | 1672-4321(2003)02-0056-04 |
| 修稿时间： | 2003-05-11 |
Novel Dynamic-Population Based on Evolutionary Algorithm for Multimodal Function Optimization |
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| Qin Jun Assoc Prof,College of Computer Science,SCUFN,Wuhan,China Kang Lishan. Novel Dynamic-Population Based on Evolutionary Algorithm for Multimodal Function Optimization[J]. Journal of South-Central Univ for, 2003, 22(2): 56-59 |
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| Authors: | Qin Jun Assoc Prof College of Computer Science SCUFN Wuhan China Kang Lishan |
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| Affiliation: | Qin Jun Assoc Prof,College of Computer Science,SCUFN,Wuhan430074,China Kang Lishan |
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| Abstract: | The traditional evolutionary algorithm with a fixed size population is not suitable especially for solving multimodal function optimization because it's impossible to know the number of solution in advance and hence it's difficult to specify a suitable size of population. In this paper, a novel algorithm with dynamic population is presented. In the process of evolution, the size of population is tuned by a aggregation and introduction of new individuals. An initial experiment is given. |
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| Keywords: | dynamic population evolutionary algorithm multimodal function |
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