火力与指挥控制2016，Vol.41Issue(9)：18-23,6.
基于多目标优化的任务计划建模及方法
Model and Method of Mission Planning Based on Multi-objective Optimization
摘要
Abstract
In this paper,a nondominated sorting genetic algorithm (NSGA- II) combined with Group Technology (GT) is designed in order to solve with the problem of low efficiency of using evolutionary algorithm for Mission planning in the Multi-objective Optimization(MO),and a reasonable grouping results can be gotten quickly and efficiently. The steps of the nondominated sorting genetic algorithm and flexibly initialized to the population based on the group result are adjusted. The optimization goals of the final result of the distribution improve significantly,and the efficiency of algorithm is greatly increased.The feasibility and effectiveness of the proposed method was verified through experimental analysis.关键词
任务计划/分组策略/NSGA-Ⅱ/多目标优化Key words
mission planning/group technology(GT)/nondominated sorting genetic algorithm(NSGA-Ⅱ)/multi-objective optimization(MO)分类
信息技术与安全科学引用本文复制引用
孙鹏,李锴,孙昱,王勋,胡诗骏..基于多目标优化的任务计划建模及方法[J].火力与指挥控制,2016,41(9):18-23,6.基金项目
中国博士后基金资助项目 （）
