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A firefly algorithm with self-adaptive population size for global path planning of mobile robot

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成果类型:
期刊论文
作者:
Li, Fengling*;Fan, Xingjiang;Hou, Zhixiang
通讯作者:
Li, Fengling
作者机构:
[Li, Fengling; Hou, Zhixiang; Fan, Xingjiang] Changsha Univ Sci & Technol, Coll Automot & Mech Engn, Changsha 410114, Peoples R China.
通讯机构:
[Li, Fengling] C
Changsha Univ Sci & Technol, Coll Automot & Mech Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Sociology;Statistics;Path planning;Heuristic algorithms;Optimization;Monitoring;Mobile robots;Path planning;improved firefly algorithm;self-adaptive population size
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2020
卷:
8
页码:
168951-168964
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: NSFC 51408069 and NSFC 51678077) 10.13039/501100004832-Key Laboratory of Lightweight and Reliability Technology for Engineering Vehicle, Education Department of Hunan Province (Changsha University of Science & Technology) (Grant Number: 2013kfjj09) 10.13039/501100004832-Changsha University of Science and Technology Graduate Research Innovation Project (Grant Number: CX2019SS13)
机构署名:
本校为第一且通讯机构
院系归属:
汽车与机械工程学院
摘要:
In the simulation experiment of path planning of mobile robot based on firefly algorithm, it is found that the matching relationship between the number of fireflies and obstacles in the iterative process has significant conflict impacts on exploration ability and computational complexity of the algorithm. In order to solve the above problem, an optimal method of path planning based on firefly algorithm with self-adaptive population size is proposed. Firstly, the evaluation of degree of collision is established at the cost of avoiding collision. Based on the degree of collision of the populatio...

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