Opposition based genetic optimization algorithm with Cauchy mutation for job shop scheduling problem-Reference-Cited by-同舟云学术

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Opposition based genetic optimization algorithm with Cauchy mutation for job shop scheduling problem

Published:2023 Issue: Volume:72 Page:3006-3011
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Anil Kumar K.R.,Dhas Edwin Raja

Publisher

Elsevier BV

Subject

General Medicine

Reference22 articles.

1. A research survey: review of flexible job shop scheduling techniques;Chaudhry;Int. Trans. Oper. Res.,2016

2. Hybrid artificial bee colony algorithm with a rescheduling strategy for solving flexible job shop scheduling problems;Li;Comput. Ind. Eng.,2017

3. Digital twin enhanced dynamic job-shop scheduling;Zhang;J. Manuf. Syst.,2021

4. Recent research trends in genetic algorithm based flexible job shop scheduling problems;Amjad;Mathe Probl. Eng.,2018

5. Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning;Park;Int. J. Prod. Res.,2021

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