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Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm

  • Zhengxue LiEmail author
  • Jie Jia
  • Mingsong Cheng
  • Zhiwei Cui
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8866)

Abstract

In this paper we solve the path planning of Unmanned Aerial Vehicle (UAV) using differential evolution algorithm (DE). Based on traditional DE, we proposed a modified multi-population differential evolution algorithm (MMPDE) which adopts the multi-population framework and two new operators: chemical adsorption mutation operator and selection mutation operator. The simulation experiments show that the new algorithm has good performance.

Keywords

Differential evolution Chemical adsorption mutation operator Selection mutation operator Multi-population evolution Path planning of UAV 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Zhengxue Li
    • 1
    Email author
  • Jie Jia
    • 1
  • Mingsong Cheng
    • 1
  • Zhiwei Cui
    • 1
  1. 1.School of Mathematical SciencesDalian University of TechnologyDalianPeople’s Republic of China

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