信息与控制2016，Vol.45Issue(2)：199-203,210,6.DOI:10.13976/j.cnki.xk.2016.0199
基于G A-PS O的天基预警系统资源调度方法
Resource Scheduling Method for Space-Based Early Warning System Based on GA-PSO Algorithm
摘要
Abstract
To solve the resource scheduling problem of satellites in space-based early warning system,we build a resource scheduling model based on the characteristics of the early warning tasks and their decomposition.We propose a hybrid GA-PSO optimization algorithm,which combines the advantages of genetic algorithm (GA) and particle swarm optimization (PSO),to solve the resource scheduling problem for the space-based early warning system.The algorithm introduces the genetic operators of GA into PSO algorithm to improve the search ability of PSO algorithm,while solving the problem of particles coding and decoding.The experimental results demonstrate that the proposed algorithm can solve resource scheduling problem of space-based early warning system for multi-target detection effectively and space-based early warning missions,and the schedu-ling results is better than GA and PSO.关键词
天基预警/资源调度/遗传算法/粒子群算法/多目标探测Key words
space-based early warning/resource scheduling/genetic algorithm/particle swarm optimization algorithm/multi-target detection分类
信息技术与安全科学引用本文复制引用
张辰璐,彭冬亮,方韬,谷雨..基于G A-PS O的天基预警系统资源调度方法[J].信息与控制,2016,45(2):199-203,210,6.基金项目
国家自然科学基金项目资助项目（61174024）；国家重点基础研究发展计划资助项目 （）
