| 改进蚁群算法及在电力线路优化问题中的应用 |
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| 引用本文： | 霍凤财.改进蚁群算法及在电力线路优化问题中的应用[J].科学技术与工程,2009,9(21). |
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| 作者姓名： | 霍凤财 |
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| 作者单位： | 1. 大庆石油学院电气信息工程学院,大庆,163318
2. 长城钻探工程有限公司钻井一公司,盘锦,124000 |
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| 摘 要： | 电力线路优化在整个电力规划方案中占有很大比重.为节约投资,采用改进蚁群算法对电力线路优化问题进行求解,得到电力规划的最短路径.在改进算法中提出将启发因子α随着进化代数的增加而逐渐增至某一常值的方式,提高了算法的收敛速度.首先通过旅行商问题验证了该算法的有效性,然后应用到具体的电力线路优化问题中证实了该算法是优于基本蚁群算法的.
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| 关 键 词： | 启发因子 蚁群算法 电力线路 |
| 收稿时间： | 7/6/2009 9:41:12 PM |
| 修稿时间： | 2009/7/24 0:00:00 |
An Improved Ant Colony Algorithm and Its Application in Power Route Optimization |
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| huofengcai.An Improved Ant Colony Algorithm and Its Application in Power Route Optimization[J].Science Technology and Engineering,2009,9(21). |
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| Authors: | huofengcai |
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| Abstract: | Power route optimization accounts for a large proportion in the whole plan of the electricity. In order to save investment, the adoption of improved ant colony algorithm solves this problem to get the shortest path.The algorithm proposes that the inspired factor approaches a constant value with the evolution generations,which enhances the convergence speed.Firstly this algorithm applied to travelling salesman problem which shows this one is valid,then applied to the power route optimization problem which verifies that the improved ant colony algorithm is better than the basic one. |
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