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

被引：5
|
作者：
Li, Zhengxue [1 ]
Jia, Jie [1 ]
Cheng, Mingsong [1 ]
Cui, Zhiwei [1 ]
机构：
[1] Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2014 | 2014年 / 8866卷
关键词：
Differential evolution; Chemical adsorption mutation operator; Selection mutation operator; Multi-population evolution; Path planning of UAV;
D O I：
10.1007/978-3-319-12436-0_67
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：602 / 610
页数：9
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