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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Vydáno v:	Swarm and evolutionary computation Ročník 93; s. 101834
Hlavní autoři:	Zhang, Bohan, Che, Ada
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.03.2025
Témata:	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
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