An Effective Hybrid Multiobjective Flexible Job Shop Scheduling Problem Based on Improved Genetic Algorithm

Multiobjective Flexible Job Shop Scheduling Problem (MO-FJSP) is a scheduling problem used in manufacturing sectors to use energy efficiently and thriftily. The scheduling problem aims to increase productivity and reduce energy consumption via a mathematical model. With this paper, an effective gene...

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Veröffentlicht in:	Scientific programming Jg. 2022; S. 1 - 10
1. Verfasser:	Fang, Junfeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Hindawi 22.03.2022 John Wiley & Sons, Inc
Schlagworte:	Accuracy Completion time Critical path Decision making Energy consumption Flexibility Gene expression Genetic algorithms Heuristic Job shop scheduling Job shops Manufacturing Mathematical models Methods Optimization Population Scheduling Search algorithms
ISSN:	1058-9244, 1875-919X
Online-Zugang:	Volltext
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