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基于模拟退火和共同进化算法的协同航路规划

曾剑新 周焰 张斌

火力与指挥控制2011,Vol.36Issue(12):34-37,41,5.
火力与指挥控制2011,Vol.36Issue(12):34-37,41,5.

基于模拟退火和共同进化算法的协同航路规划

Cooperative Path Planning Based on Simulated Annealing and Co-evolutionary Algorithm

曾剑新 1周焰 2张斌1

作者信息

  • 1. 解放军94895部队,福建漳州 363000
  • 2. 空军雷达学院,武汉430019
  • 折叠

摘要

Abstract

To resolve the path design problem for cooperative aerocraft, a mean of cooperative path planning based on simulated annealing and co-evolutionary algorithm was proposed. First, the path planning mode based on co-evolutionary computing and the individual's fitness computing function were designed. The path points of every aerocraft were denoted in the form of polar coordinates, which could shorten the gene code length,speed up the execution of genetic search for fast path generation. And the simulated annealing algorithm was inducted to judge whether the new solution would be accepted or not. Simulation results had demonstrated the feasibility of the approach.

关键词

航路规划/模拟退火算法/共同进化算法/角度编码

Key words

route planning, simulated annealing algorithm, co-evolutionary algorithm, angle coding

分类

航空航天

引用本文复制引用

曾剑新,周焰,张斌..基于模拟退火和共同进化算法的协同航路规划[J].火力与指挥控制,2011,36(12):34-37,41,5.

基金项目

国家自然科学基金资助项目(70701038) (70701038)

火力与指挥控制

OA北大核心CSCDCSTPCD

1002-0640

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