Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm-Reference-Cited by-同舟云学术

Intelligent Optimization Under Multiple Factories: Hybrid Flow Shop Scheduling Problem with Blocking Constraints Using an Advanced Iterated Greedy Algorithm

Published:2023-12 Issue:4 Volume:3 Page:282-306
ISSN:2096-9929
Container-title:Complex System Modeling and Simulation
language:
Short-container-title:Complex Syst. Model. Simul.

Author:

Wang Yong¹,Wang Yuting¹,Han Yuyan¹,Li Junqing²,Gao Kaizhou³,Nojima Yusuke⁴

Affiliation:

1. School of Computer Science, Liaocheng University,Liaocheng,China,252000

2. School of Computer Science, Shandong Normal University,Jinan,China,252000

3. Macau Institute of Systems Engineering, Macau University of Science and Technology,Macau,China,999078

4. Osaka Prefecture University,Department of Computer Science and Intelligent Systems,Osaka,Japan,599–8531

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9420428/10347376/10347379.pdf?arnumber=10347379

Reference49 articles.

1. Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem

2. Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

3. Simplification methods for accelerating simulation-based real-time scheduling in a semiconductor wafer fabrication facility

4. A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems

5. An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process

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