Research on differential evolution algorithm for path planning for unmanned aerial vehicle in ocean environment

被引：0
|
作者：
Fu, Yang-Guang [1 ,2 ]
Zhou, Cheng-Ping [2 ]
Hu, Han-Ping [2 ]
机构：
[1] School of Computer Science and Technology, University of South China, Hengyang 421001, Hunan, China
[2] Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
来源：
Binggong Xuebao/Acta Armamentarii | 2012年 / 33卷 / 03期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
16
引用
收藏
页码：295 / 300
相关论文
共 50 条
  • [21] Research on Trajectory Planning Algorithm of Unmanned Aerial Vehicle Based on Improved A* algorithm
    Fang Mao-hui
    Xu Jun
    2017 INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS, ELECTRONICS AND CONTROL (ICCSEC), 2017, : 1348 - 1352
  • [22] Path planning of unmanned aerial vehicle based on improved gravitational search algorithm
    Li Pei
    Duan HaiBin
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2012, 55 (10) : 2712 - 2719
  • [23] A Collision-Free Path Planning Algorithm for Unmanned Aerial Vehicle Delivery
    Shi, Ziji
    Ng, Wee Keong
    2018 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2018, : 358 - 362
  • [24] Unmanned Combat Aerial Vehicle Path Planning by Brain Storm Optimization Algorithm
    Dolicanin, Edin
    Fetahovic, Irfan
    Tuba, Eva
    Capor-Hrosik, Romana
    Tuba, Milan
    STUDIES IN INFORMATICS AND CONTROL, 2018, 27 (01): : 15 - 24
  • [25] Unmanned Aerial Vehicle Coverage Path Planning Algorithm based on Cellular Automata
    Song, Zhihua
    Zhang, Han
    Zhang, Xiaojie
    Zhang, Fa
    2019 15TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2019), 2019, : 123 - 126
  • [26] Path planning of unmanned aerial vehicle based on improved gravitational search algorithm
    LI Pei 1 & DUAN HaiBin 1
    2 State Key Laboratory of Virtual Reality Technology and Systems
    Science China(Technological Sciences), 2012, (10) : 2712 - 2719
  • [27] A* algorithm based on adaptive expansion convolution for unmanned aerial vehicle path planning
    Xu, Yu
    Li, Yang
    Tai, Yubo
    Lu, Xiaohan
    Jia, Yaodong
    Wang, Yifan
    INTELLIGENT SERVICE ROBOTICS, 2024, 17 (03) : 521 - 531
  • [28] Path planning of unmanned aerial vehicle based on improved gravitational search algorithm
    Pei Li
    HaiBin Duan
    Science China Technological Sciences, 2012, 55 : 2712 - 2719
  • [29] Application of Improved Cuckoo Search Algorithm to Path Planning Unmanned Aerial Vehicle
    Xie, Cong
    Zheng, Hongqing
    INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2016, PT I, 2016, 9771 : 722 - 729
  • [30] Unmanned Aerial Vehicle Coverage Path Planning Algorithm Based on Cellular Automata
    Song, Zhihua
    Zhang, Han
    Liu, Fei
    Chen, Shitao
    Zhang, Fa
    PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS AND COMPUTER AIDED EDUCATION (ICISCAE 2018), 2018, : 371 - 374
12345