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...

Full description

Saved in:

Bibliographic Details
Published in:	Scientific programming Vol. 2022; pp. 1 - 10
Main Author:	Fang, Junfeng
Format:	Journal Article
Language:	English
Published:	New York Hindawi 22.03.2022 John Wiley & Sons, Inc
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!