DECISION MAKING USING DISCRETE PARTICLE SWARM OPTIMIZATION ON WEAPON TARGET ALLOCATION IN MULTILAYER AIR DEFENSE

摘要：

A Weapon Target Allocation (WTA) problem in multilayer air defense scenario is addressed in this pa per. Optimal WTA is a combinatorial optimization problem that can be solved with Discrete Particle Swarm Op timization (DPSO). The objective of WTA optimization is to allocate defensive weapon resources to incoming enemy missiles/aircraft so as to maximize the survival asset value subject to weapon and area availability at as set, cost and manpower constraints. The proposed heuristic method provides optimal number of defensive weap ons to be deployed at each asset in order to increase survivability of the assets under the known enemy attack plan. It is observed that PSO is simple to implement, flexible and robust for such complex problems. Computa tional results show that our proposed PSO algorithm is very much stable, competitive and gives promising results.

关键词： Heuristic optimization technique Particle swarm optimization Air defense Weapon deployment Military operations research

作者: Ghazanfar Ali Weiguo Fang Ruifeng Shi

作者单位: School of Economics and Management, Beihang University, Beijing, 100083, China Department of Automation, North China Electric Power University, Beijing, 102206, China

会议类型: 国际会议

会议名称: The Ninth International Conference on Industrial Management(第九届工业管理国际会议 ICIM2008)

会议地点: 日本大阪

会议语种:英文

页码: 737-745

在线出版日期: 2008-09-16（万方平台首次上网日期，不代表论文的发表时间）