A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm

This paper comprehensively analyzes the characteristics of flexible job shop scheduling problem (FJSSP), takes the dynamic factors in the actual scheduling process such as the arrival and departure of jobs, the breakdown and recovery of machines into account at the same time, and establishes a new d...

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Main Authors: Yanjiao Wang, Jieru Han
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2021/6062689
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author Yanjiao Wang
Jieru Han
author_facet Yanjiao Wang
Jieru Han
author_sort Yanjiao Wang
collection DOAJ
description This paper comprehensively analyzes the characteristics of flexible job shop scheduling problem (FJSSP), takes the dynamic factors in the actual scheduling process such as the arrival and departure of jobs, the breakdown and recovery of machines into account at the same time, and establishes a new dynamic multi-objective mathematical model. Take the Squirrel Search Algorithm (SSA) as the core evolution strategy, and combine the multi-objective framework and the dynamic processing technology to solve the established mathematical model. Experimental results show that the mathematical model proposed in this paper can solve the flexible job shop scheduling problem effectively. Compared with other mathematical models, the mathematical model established in this paper can keep better balance between the efficiency and stability.
format Article
id doaj-art-7f0906cf59fb456ab0e7f7b5015a2603
institution Kabale University
issn 1687-5869
1687-5877
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series International Journal of Antennas and Propagation
spelling doaj-art-7f0906cf59fb456ab0e7f7b5015a26032025-02-03T01:27:20ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772021-01-01202110.1155/2021/60626896062689A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search AlgorithmYanjiao Wang0Jieru Han1School of Electrical Engineering, Northeast Electric Power University, Jilin 132000, ChinaSchool of Electrical Engineering, Northeast Electric Power University, Jilin 132000, ChinaThis paper comprehensively analyzes the characteristics of flexible job shop scheduling problem (FJSSP), takes the dynamic factors in the actual scheduling process such as the arrival and departure of jobs, the breakdown and recovery of machines into account at the same time, and establishes a new dynamic multi-objective mathematical model. Take the Squirrel Search Algorithm (SSA) as the core evolution strategy, and combine the multi-objective framework and the dynamic processing technology to solve the established mathematical model. Experimental results show that the mathematical model proposed in this paper can solve the flexible job shop scheduling problem effectively. Compared with other mathematical models, the mathematical model established in this paper can keep better balance between the efficiency and stability.http://dx.doi.org/10.1155/2021/6062689
spellingShingle Yanjiao Wang
Jieru Han
A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
International Journal of Antennas and Propagation
title A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
title_full A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
title_fullStr A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
title_full_unstemmed A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
title_short A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm
title_sort fjssp method based on dynamic multi objective squirrel search algorithm
url http://dx.doi.org/10.1155/2021/6062689
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AT jieruhan afjsspmethodbasedondynamicmultiobjectivesquirrelsearchalgorithm
AT yanjiaowang fjsspmethodbasedondynamicmultiobjectivesquirrelsearchalgorithm
AT jieruhan fjsspmethodbasedondynamicmultiobjectivesquirrelsearchalgorithm