基于混合粒子群策略的航天器发射工艺流程优化方法  

Optimization of Spacecraft Launch Technical Procedures Based on a Hybrid Particle Swarm Algorithm

作　　者：董学军[1] 陈英武[1] 邢立宁[1] 

机构地区：[1]国防科学技术大学信息系统与管理学院,湖南长沙410073

出　　处：《系统工程》2011年第2期110-117,共8页Systems Engineering

摘　　要：针对单项工作时间、质量和项目整体质量约束,如何实现航天器发射工期和质量最优的问题,构筑了质量与时间关系模型,建立了基于粒子群和遗传策略对航天器发射工艺流程进行工期和质量优化的算法。实例验证表明该方法可用于航天器发射工艺流程中工期与质量的推演和时间调度方案的优化。Directed at the constraint of the completing time and quality of single work,and the overall quality of spacecraft launch,a function for depicting relation between time and quality is proposed to deal with the optimization of the time limit and quality for spacecraft launch technical procedures.Then a multi-objective process optimization model is built by using particle swarm optimization and genetic algorithms.The example verification shows that the algorithm is feasible and effective for decision-making demonstration of spacecraft launch project and scheduler optimization of spacecraft launch technical procedures.

关 键 词：航天器发射 工艺流程 粒子群算法 遗传算法 

分 类 号：V554[航空宇航科学与技术—人机与环境工程]