Improved Ant Colony Algorithm for Power Distribution Network Planning

被引：2
|
作者：
Zhu Jia-mei [1 ]
Ren Hong-e [1 ]
机构：
[1] NE Forestry Univ, Informat & Comp Engn Coll, Harbin 150040, Peoples R China
来源：
2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 1 | 2010年
关键词：
Ant Colony Algorithm; Power Distribution Netwok Planning; Optimization; dynamic adaptive; GENETIC ALGORITHMS;
D O I：
10.1109/ICACC.2010.5486991
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Proposesing a multi-state adaptive ant pheromones mechanism base on researching on ant colony algorithm model, pheromones update and pheromones selection had been improved. Make up the traditional ant colony algorithm for the calculation of distribution network planning that is slow and easy to fall into local optimal solution. And improved the convergence of the optimal solution. the validity of the improved algorithm has been verified using a testing function. Moreover, a satisfactory optimum solution for a Power Distribution Network Planning that has 73 user has been obtained. And the effective design method for permanent-magnet synchronous motor has been suggested based on the improved ACO.
引用
收藏
页码：357 / 360
页数：4
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