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基于聚类PSO算法的舰载机舰面多路径动态规划

韩维 司维超 丁大春 宋岩

韩维, 司维超, 丁大春, 等 . 基于聚类PSO算法的舰载机舰面多路径动态规划[J]. 北京航空航天大学学报, 2013, 39(5): 610-614.
引用本文: 韩维, 司维超, 丁大春, 等 . 基于聚类PSO算法的舰载机舰面多路径动态规划[J]. 北京航空航天大学学报, 2013, 39(5): 610-614.
Han Wei, Si Weichao, Ding Dachun, et al. Multi-routes dynamic planning on deck of carrier plane based on clustering PSO[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(5): 610-614. (in Chinese)
Citation: Han Wei, Si Weichao, Ding Dachun, et al. Multi-routes dynamic planning on deck of carrier plane based on clustering PSO[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(5): 610-614. (in Chinese)

基于聚类PSO算法的舰载机舰面多路径动态规划

基金项目: 中国博士后科学基金资助项目(20090460114,201003758); 国家自然科学基金资助项目(60902054)
详细信息
  • 中图分类号: TP202;E9

Multi-routes dynamic planning on deck of carrier plane based on clustering PSO

  • 摘要: 对舰载机舰面多路径动态规划问题,提出了基于聚类粒子群(PSO,Particle Swarm Optimization)算法进行解决的方法.首先建立了舰载机舰面多路径动态规划问题数学模型;其次,在建立航母舰面环境模型、舰载机"凸壳"模型、碰撞检测模型的基础上,利用聚类PSO算法进行问题求解;最后,通过编制程序对该解决方法予以实现.仿真结果表明利用聚类PSO算法所求解的结果比较精确,且计算效率也符合实际要求.因此基于聚类PSO算法对舰载机舰面多路径动态规划问题进行求解是可行的.

     

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出版历程
  • 收稿日期:  2012-06-08
  • 修回日期:  2012-11-26
  • 网络出版日期:  2013-05-31

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