首页 | 本学科首页   官方微博 | 高级检索  
     

基于改进蚁群算法的船舶电力系统故障重构研究
引用本文:王征,王永骥,李哲.基于改进蚁群算法的船舶电力系统故障重构研究[J].计算技术与自动化,2010,29(1):1-4.
作者姓名:王征  王永骥  李哲
作者单位:1. 华中科技大学,控制科学与工程系,湖北,武汉,430074;海军工程大学,电气与信息工程学院,湖北,武汉,430033
2. 华中科技大学,控制科学与工程系,湖北,武汉,430074
3. 海军工程大学,电气与信息工程学院,湖北,武汉,430033
基金项目:国家科技重点实验室基金 
摘    要:提出一种采用K阶近邻策略求解子集类问题的改进蚁群算法,应用到船舶电力系统故障重构问题中。将重构问题抽象为子集类优化选择问题.建立适合解决此类问题的蚁群算法模型。根据船舶电力系统故障重构特点,采用K阶近邻策略缩小算法的求解空间以提高寻优求解效率。算例分析及仿真实例表明,改进后的蚁群算法可以有效解决船舶电力系统故障重构问题。

关 键 词:船舶电力系统  故障重构  改进蚁群算法  子集类问题  K阶近邻策略

Reasearch on Reconfiguration of Ship Power System Based on Improved Ant Colony Optimization
WANG Zheng,WANG Yong-ji,LI Zhe.Reasearch on Reconfiguration of Ship Power System Based on Improved Ant Colony Optimization[J].Computing Technology and Automation,2010,29(1):1-4.
Authors:WANG Zheng  WANG Yong-ji  LI Zhe
Affiliation:1. Department of Control Science and Engineering, Huazhong Universuty of Science and Technology, Wuhan 430074, China 2 School of Electrical Engineering and Information Technology, Naval University of Engineering, Wuhan 430033, China)
Abstract:An improved ant colony optimization is presented for solving subset problem by using k--nearest neighbor, which is used to reconfigurate ship power system. Reconfiguration is considered as a typical subset problem, a mathematic model is built to solve it. K--nearest neighbor method is used to decrease the space of solutions and improve efficiency. The result of simulation shows that the improved algorithm can reconfigurate ship power system efficiently.
Keywords:ship power system  reeonfiguration  improved ant colony optimization  subset problem  k--nearest neighbor
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算技术与自动化》浏览原始摘要信息
点击此处可从《计算技术与自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号