Improved Grey Wolf Optimization Algorithm and Application

Improved Grey Wolf Optimization Algorithm and Application

This paper proposed an improved Grey Wolf Optimizer (GWO) to resolve the problem of instability and convergence accuracy when GWO is used as a meta-heuristic algorithm with strong optimal search capability in the path planning for mobile robots. We improved chaotic tent mapping to initialize the wol...

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Bibliographic Details
Main Authors: Yuxiang Hou, Huanbing Gao, Zijian Wang, Chuansheng Du
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
Grey Wolf Optimizer
tent mapping
convergence factor
path planning
Online Access:https://www.mdpi.com/1424-8220/22/10/3810

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