An enhanced decomposition-based multi-objective evolutionary algorithm with neighborhood search for multi-resource constrained job shop scheduling problem

Today’s industry 5.0 emphasizes the synergy between humans and equipment to raise productivity. This paper investigates a multi-resource constrained job shop scheduling problem, aiming to minimize both the makespan, the total energy consumption of automated guided vehicles (AGVs), and the total work...

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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 93; p. 101834
Main Authors:	Zhang, Bohan, Che, Ada
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2025
Subjects:	Evolutionary mechanism Multi-objective job shop scheduling Multi-objective mixed integer linear programming Multi-resource constrained Neighborhood search Multi-resource constrained Evolutionary mechanism Multi-objective job shop scheduling Multi-objective mixed integer linear programming Neighborhood search
ISSN:	2210-6502
Online Access:	Get full text
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