舰船电子工程Issue(7)：54-57,100,5.DOI:10.3969/j.issn1672-9730.2015.07.015
基于多目标优化遗传算法的武器-目标分配
Weapon-target Assignment with Multi-objective Non-dominated Set Ranking Genetic Algorithm
陈思 1胡涛2
作者信息
- 1. 海军工程大学 武汉 430033
- 2. 中国瑞达投资发展集团公司 北京 100040
- 折叠
摘要
Abstract
Aiming at solving weapon‐target assignment(WTA) problems ,a multi‐objective optimization model is estab‐lished based on maximum optimal damage probability and minimum the firepower number .Application the Pareto non‐domi‐nated set ranking method ,non‐dominated set ranking genetic algorithm(NSGA‐Ⅱ) is presented to solve the multi‐objective optimization WTA problems .The population's fitness is evaluated by the non‐dominated set rank ,the diversity evolution op‐eration is evaluated by genetic algorithm(GA) .The proposed NSGA‐Ⅱ algorithm is simple ,perfect performance and can provide Pareto‐optimal front to support decision .The simulation experiment gives good WTA result which verifies the cor‐rectness and effectiveness of the proposed algorithm .关键词
多目标优化/遗传算法/火力分配/非劣分层/Pareto集Key words
multi-objective optimization/genetic algorithm/weapon-target assignment/non-dominated set ranking/Pareto set分类
信息技术与安全科学引用本文复制引用
陈思,胡涛..基于多目标优化遗传算法的武器-目标分配[J].舰船电子工程,2015,(7):54-57,100,5.
