火力与指挥控制2025，Vol.50Issue(1)：181-188,8.DOI:10.3969/j.issn.1002-0640.2025.01.025
基于选址模型和遗传算法的两阶段搜索救援等待区规划
Two-stage Search and Rescue Waiting Area Planning Based on Location Models and Genetic Algorithms
摘要
Abstract
Aiming at the responsibility distribution problems as the search and rescue helicopters await and make search and rescue in the air under combat scenarios,a two-stage search and rescue waiting area planning method is proposed.Firstly,minimizing fixed costs,distance costs,threat costs and maximizing time reliability are the objective functions,and the influencing factors are comprehensively considered to establish constraints based on the battlefield environments,and a search and rescue waiting area location determination and responsibility allocation model are constructed.Then,based on the center of gravity method,the steps are proposed for determining the planning area and alternative plans.Finally,three kinds of algorithms are used to solve the search and rescue waiting area number,location,and responsibility distribution planning plan,the feasibility of the planning model and the applicability of the optimization method for the responsibility allocation plan are verified.The simulation results show that the proposed method can better solve the planning problem of search and rescue waiting area,and has better practical application value.关键词
战斗搜救/搜索救援等待区/重心法/遗传算法/空域规划Key words
combat search and rescue/search and rescue waiting area/center of gravity method/genetic algorithm/airspace planning分类
军事科技引用本文复制引用
沈堤,张仁猛,余付平..基于选址模型和遗传算法的两阶段搜索救援等待区规划[J].火力与指挥控制,2025,50(1):181-188,8.基金项目
国家社科基金资助项目(2022-SKJJ-B-054) （2022-SKJJ-B-054）
