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一种连续空间优化问题的蚁群算法及应用
引用本文:孙学勤,刘丽,付萍,王学厚.一种连续空间优化问题的蚁群算法及应用[J].计算机工程与应用,2005,41(34):217-220.
作者姓名:孙学勤  刘丽  付萍  王学厚
作者单位:1. 云南电力集团有限公司,昆明,650041
2. 华北电力大学自动化系,河北,保定,071003
摘    要:针对随机优化算法收敛困难及搜索时间较长的问题,提出一种求解连续空间优化问题的蚁群算法,为蚁群算法在连续空间中的应用提供了一个可行的方案。给出了该算法的详细定义及实现步骤,并将该算法应用于多变量函数优化及热工控制系统控制器参数优化,仿真结果表明:该算法具有良好的全局优化性能,能加快收敛速率,解决了随机优化算法收敛困难的问题,并提高寻优精度。

关 键 词:蚁群算法  连续空间优化  PID参数优化
文章编号:1002-8331-(2005)34-0217-04
收稿时间:2005-09
修稿时间:2005年2月1日

Ant Colony Algorithm in Continuous Space
Sun Xueqin,Liu Li,Fu Ping,Wang Xuehou.Ant Colony Algorithm in Continuous Space[J].Computer Engineering and Applications,2005,41(34):217-220.
Authors:Sun Xueqin  Liu Li  Fu Ping  Wang Xuehou
Affiliation:1.Yunnan Power Group Corp. Ltd.,Kunming 650041; 2.Department of Automation, North China Electric Power University, Baoding, Hebei 071003
Abstract:Ant colony algorithm is a novel simulated evolutionary algorithm.Preliminary studies have showed that it has many promising futures.Based on the ant colony optimization idea,a new algorithm for continuous optimization problem is presented.The ant's moving direction and step are determined by the best result of last generation.The ant who has found the best way in last cycle will search for a new result in a certain area.The pheromone will be updated after a cycle.Typical examples indicate the better performance of the proposed algorithm.
Keywords:ant colony algorithm  continuous optimization  PID controller optimization
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