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

页码：602 / 610

页数：9

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