Research of Genetic-Ant Colony Fusion Algorithm for Multi-Missile Cooperative Combat Target Assignment Problem

摘要：

Multi-missile cooperative combat target assignment problem is a typical NP-C problem. Some algorithms for solving this problem are discussed first. Then based on the genetic algorithm with direction evolution and Max-Min ant system, a genetic-ant colony fusion algorithm is put forward. Algorithm experimental result is given in the end, which shows that this new target assignment method is valid with better performance and faster convergence rate.

关键词： Target assignment problem Genetic algorithm Ant colony algorithm Optimization

作者: Zhang Qiang Lei Humin Wang Fei Dong Feiyao

作者单位: Missile Institute, Air Force Engineering University,Sanyuan 713800

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 5910-5912

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）