Improving prediction accuracy of open shop scheduling problems using hybrid artificial neural network and genetic algorithm

Improving prediction accuracy of open shop scheduling problems using hybrid artificial neural network and genetic algorithm

Scheduling issues are typically classified as constrained optimization problems that examine the allocation of machines and the sequence in which tasks are processed. Regarding the existence of one machine, identification of works processing sequence forms a complete time schedule. Therefore, follo...

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Bibliographic Details
Main Authors: Mohammad Reza Komari Alaei, Reza Rostamzadeh, Kadir Albayrak, Zenonas Turskis, Jonas Šaparauskas
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2024-09-01
Series:Journal of Business Economics and Management
Subjects:
open shop scheduling (OSS)
different work stations
single machine problems
resource assignment
efficient production
artificial neural network (ANN)
Online Access:https://jau.vgtu.lt/index.php/JBEM/article/view/22242
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