| 用于求解函数优化的蚁群算法设计 |
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| 引用本文： | 吴华芹. 用于求解函数优化的蚁群算法设计[J]. 水利电力机械, 2007, 29(7): 64-66,94 |
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| 作者姓名： | 吴华芹 |
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| 作者单位： | 河南省化学工业学校信息工程系,河南郑州450042 |
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| 摘 要： | 为了求解一般的函数优化，在标准蚁群算法的基础上，引入了遗传算法的编码方式，对蚁群算法的信息素更新进行改进。通过对几个经典测试函数的求解，证明了该算法的有效性。
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| 关 键 词： | 蚁群算法 函数优化 遗传算法 TSP |
| 文章编号： | 1006-6446（2007）07-0064-03 |
| 修稿时间： | 2007-04-05 |
An ant colony algorithm design for the function optimization |
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| WU Hua-qin. An ant colony algorithm design for the function optimization[J]. Water Conservancy & Electric Power Machinery, 2007, 29(7): 64-66,94 |
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| Authors: | WU Hua-qin |
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| Affiliation: | Information Engineering Department of Henan Province Chemical Industrial school, Zhengzhou 450042, China |
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| Abstract: | To solve function optimization problem, pheromone update strategy is derived based on ant colony algorithm by inducing binary ceding of genetic algorithm. The improved algorithm has been tested for varieties of classical test functions. And the algorithm can handle these optimization problems very well. |
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| Keywords: | ant colony algorithm function optimization genetic algorithm TSP |
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