Modified Genetic Algorithm for Flexible Job-Shop Scheduling Problems-Reference-Cited by-同舟云学术

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Modified Genetic Algorithm for Flexible Job-Shop Scheduling Problems

Published:2012 Issue: Volume:12 Page:122-128
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Teekeng Wannaporn,Thammano Arit

Publisher

Elsevier BV

Subject

General Engineering

Reference15 articles.

1. D. E. Goldberg, Genetic Algorithms in Search Optimisation and Machine Lerning, Addison-Wesley, Reading, Massachusetts, 1989.

2. Tabu Search-Part I, Operations Research Society of America;Glover;J. Comput.,1989

3. Optimization by Simulated Annealing;Kirkpatrick;Sci.,1983

4. Particle Swarm Optimization;Kennedy;Phys.Rev., B.,1995

5. Fuzzy sets;Zadeh;Information and Control,1965

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1. Machine learning and evolutionary optimization approach for solving the flexible job-shop scheduling problem;Journal of Intelligent & Fuzzy Systems;2024-04-18

2. Flexible job-shop scheduling problem with parallel batch machines based on an enhanced multi-population genetic algorithm;Complex & Intelligent Systems;2024-03-02

3. Energy-efficient flexible job shop scheduling problem considering discrete operation sequence flexibility;Swarm and Evolutionary Computation;2024-02

4. Multi-resource constrained flexible job shop scheduling problem with fixture-pallet combinatorial optimisation;Computers & Industrial Engineering;2024-02

5. GAILS: an effective multi-object job shop scheduler based on genetic algorithm and iterative local search;Scientific Reports;2024-01-24

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