| 基于改进伪并行遗传算法的函数优化 |
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| 引用本文： | 王萍萍,潘丰.基于改进伪并行遗传算法的函数优化[J].江南大学学报(自然科学版),2010,9(1):11-15. |
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| 作者姓名： | 王萍萍 潘丰 |
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| 作者单位： | 江南大学,通信与控制工程学院,江苏,无锡,214122 |
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| 基金项目： | 国家863计划项目(2006AA020301) |
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| 摘 要： | 针对遗传算法早熟和收敛速度慢的问题，在已有的伪并行遗传算法基础上对遗传操作进行改进。采用3个测试函数对改进的算法进行验证，结果表明改进的算法在函数的平均适应度值、平均运行代数、收敛概率等方面都取得了较好的结果。
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| 关 键 词： | 遗传算法 伪并行 函数优化 |
Function Optimization Based on the Improved Pseudo-Parallel Genetic Algorithm |
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| WANG Ping-ping,PAN Feng.Function Optimization Based on the Improved Pseudo-Parallel Genetic Algorithm[J].Journal of Southern Yangtze University:Natural Science Edition,2010,9(1):11-15. |
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| Authors: | WANG Ping-ping PAN Feng |
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| Institution: | School of Communication and Control Engineering;Jiangnan University;Wuxi 214122;China. |
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| Abstract: | For the problem of prematureness and slow convergence of Genetic Algorithm,some improvement based on apseudo-parallel genetic algorithm are made in aspects of genetic manipulation.Three test functions are used to verify the improved algorithm.The results show that the average fitness value,the average run algebra,and probability of convergence have achieved better results. |
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| Keywords: | genetic algorithm pseudo-parallel function optimization |
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