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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Vydané v:	Scientific programming Ročník 2022; s. 1 - 10
Hlavný autor:	Fang, Junfeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Hindawi 22.03.2022 John Wiley & Sons, Inc
Predmet:	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
On-line prístup:	Získať plný text
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