A reinforcement learning-enhanced multi-objective iterated greedy algorithm for weeding-robot operation scheduling problems

•We propose a population-based iterated greedy algorithm enhanced with Q-learning for a multi-weeding-robots operation scheduling problem.•An problem-related IBH is designed to generate a set of initial solutions and a local search based on the high-load robot and the critical robot is proposed.•An...

Full description

Bibliographic Details

Published in:	Expert systems with applications Vol. 263; p. 125760
Main Authors:	Miao, Zhonghua, Guo, Hengwei, Pan, Quan-ke, Peng, Chen, Xu, Ziyu
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 05.03.2025
Subjects:	Iterated greedy algorithm Multi-objective optimization Operation scheduling Q-learning Smart farms Task allocation Operation scheduling Q-learning Iterated greedy algorithm Multi-objective optimization Smart farms Task allocation
ISSN:	0957-4174
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!