A Three-Stage Adaptive Hybrid Algorithm for Flexible Job Shop Scheduling Problem-Reference-Cited by-同舟云学术

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A Three-Stage Adaptive Hybrid Algorithm for Flexible Job Shop Scheduling Problem

Published:2023-10-01 Issue: Volume:38 Page:556-563
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
language:
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Author:

Wu ChongRui¹,Xie ZhiJun¹,Chen KeWei²,Xin Yu¹,Zarei Roozbeh³,Xie YunTao⁴

Affiliation:

1. Ningbo University,Faculty of Electrical Engineering and Computer Science,NingBo,China

2. Ningbo University,Falculty of Mechanical Engineering and Mechanis,NingBo,China

3. Deakin University, School of Information Technology,Melbourne,Australia

4. New South Wales University, School of Computer Science and Engineer,New South Wales,Australia

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Science and Technology Innovation 2025 Major Project of Ningbo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394373.pdf?arnumber=10394373

Reference30 articles.

1. The Complexity of Flowshop and Jobshop Scheduling

2. A genetic algorithm for scheduling open shops with sequence-dependent setup times

3. Improved sparrow search algorithm for solving job shop scheduling problem;Liu;Application Research of Computer,2021

4. Sparrow search algorithm to solve flexible job shop scheduling problem;Hong;Manufacturing Technology & Machine Tool,2022

5. An effective artificial bee colony algorithm for the flexible job-shop scheduling problem

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