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基于改进遗传算法的远程多点空中加油规划

黄舟杭 张志浩 韩钧羽 黄灿宇

火力与指挥控制2024,Vol.49Issue(6):30-37,8.
火力与指挥控制2024,Vol.49Issue(6):30-37,8.DOI:10.3969/j.issn.1002-0640.2024.06.005

基于改进遗传算法的远程多点空中加油规划

Long-range Multi-point Air Refueling Planning Based on Improved Genetic Algorithm

黄舟杭 1张志浩 2韩钧羽 1黄灿宇1

作者信息

  • 1. 空军工程大学空管领航学院,西安 710051
  • 2. 空军工程大学空管领航学院,西安 710051||陕西省电子信息系统综合集成重点实验室,西安 710051
  • 折叠

摘要

Abstract

In order to solve the problem of multiple in-flight refueling mission planning during the long-range raid mission,a multi-point in-flight refueling model is established with comprehensive consideration of the timeliness and economy of the mission.The standard genetic algorithm is improved to make it have faster search speed and computational efficiency.The mission is divided into several stages and different methods are used to select the refueling points.The simulation results show that this method can effectively solve the problem of selecting refueling points in multi-point air refueling during long range attack missions.

关键词

远程奔袭/多点空中加油/空中加油规划/改进遗传算法/路径优化

Key words

long range attack/multi-point air refueling/air refueling program/improved genetic algorithm/routing optimization

分类

航空航天

引用本文复制引用

黄舟杭,张志浩,韩钧羽,黄灿宇..基于改进遗传算法的远程多点空中加油规划[J].火力与指挥控制,2024,49(6):30-37,8.

基金项目

国家自然科学基金青年基金资助项目(61901511) (61901511)

火力与指挥控制

OA北大核心CSTPCD

1002-0640

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