Q-learning based vegetation evolution for numerical optimization and wireless sensor network coverage optimization

Q-learning based vegetation evolution for numerical optimization and wireless sensor network coverage optimization

Vegetation evolution (VEGE) is a newly proposed meta-heuristic algorithm (MA) with excellent exploitation but relatively weak exploration capacity. We thus focus on further balancing the exploitation and the exploration of VEGE well to improve the overall optimization performance. This paper propose...

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Bibliographic Details
Main Authors: Rui Zhong, Fei Peng, Jun Yu, Masaharu Munetomo
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Alexandria Engineering Journal
Subjects:
Meta-heuristic algorithm
Vegetation evolution
Q-learning
Wireless sensor network coverage problems
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823011201

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