An efficient genetic algorithm for job-shop scheduling problems with fuzzy processing time and fuzzy duedate-Reference-Cited by-同舟云学术

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An efficient genetic algorithm for job-shop scheduling problems with fuzzy processing time and fuzzy duedate

Published:1999-04 Issue:2 Volume:36 Page:325-341
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Sakawa Masatoshi,Mori Tetsuya

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference22 articles.

1. Introduction to sequencing and scheduling;Baker,1974

2. Theory of scheduling;Conway,1967

3. Sequencing and scheduling: an introduction to the mathematics of job-shop;French,1982

4. A computational study of the job-shop scheduling problem;Applegate;ORSA Journal on Computing,1991

5. Genetic algorithms in search, optimization and machine learning;Goldberg,1989

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1. Rescheduling optimisation of sustainable multi-objective fuzzy flexible job shop under uncertain environment;International Journal of Production Research;2024-05-24

2. Local Search Enhanced Multi-Objective Evolutionary Algorithm for Fuzzy Flexible Job Shop Scheduling;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

3. Mathematical models and benchmarking for the fuzzy job shop scheduling problem;Computers & Industrial Engineering;2023-09

4. An improved quantum particle swarm algorithm for solving multi-objective fuzzy flexible job shop scheduling problem;Journal of Intelligent & Fuzzy Systems;2023-08-24

5. Solving energy-efficient fuzzy hybrid flow-shop scheduling problem at a variable machine speed using an extended NSGA-II;Engineering Applications of Artificial Intelligence;2023-05

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