An effective multi-objective evolutionary algorithm for solving the AGV scheduling problem with pickup and delivery

This paper investigates a new automatic guided vehicle scheduling problem with pickup and delivery from the goods handling process in a matrix manufacturing workshop with multi-variety and small-batch production. The problem aims to determine a solution that maximizes customer satisfaction while min...

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Veröffentlicht in:	Knowledge-based systems Jg. 218; S. 106881
Hauptverfasser:	Zou, Wen-Qiang, Pan, Quan-Ke, Wang, Ling
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 22.04.2021 Elsevier Science Ltd
Schlagworte:	Algorithms Automated guided vehicles Batch production Client satisfaction Crossovers Customer satisfaction Distribution costs Electronic equipment Evolutionary algorithms Experiments Exploitation Genetic algorithms Heuristic Integer programming Linear programming Manufacturing Matrix manufacturing workshop Mixed integer Multi-objective evolutionary algorithm Objectives Pickup and delivery Satisfaction Scheduling Matrix manufacturing workshop Scheduling Pickup and delivery Multi-objective evolutionary algorithm Automated guided vehicles
ISSN:	0950-7051, 1872-7409
Online-Zugang:	Volltext
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