A <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si13.svg" display="inline" id="d1e4047"><mml:mi>Q</mml:mi></mml:math>-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources-Reference-Cited by-同舟云学术

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A Q-Learning based NSGA-II for dynamic flexible job shop scheduling with limited transportation resources

Published:2024-10 Issue: Volume:90 Page:101658
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Chen Rensheng,Wu Bin^ORCID,Wang Hua,Tong Huagang,Yan Feiyi

Publisher

Elsevier BV

Reference53 articles.

1. Development of scheduling methodology in a multi-machine flexible manufacturing system without tool delay employing flower pollination algorithm;Mareddy;Eng. Appl. Artif. Intell.,2022

2. Review on flexible job shop scheduling;Xie;IET Collaborat. Intell. Manuf.,2019

3. Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization;Mousavi;PLoS One,2017

4. A hybrid multi-objective GA for simultaneous scheduling of machines and AGVs in FMS;Reddy;Int. J. Adv. Manuf. Technol.,2006

5. Simultaneous scheduling of machines and automated guided vehicles in flexible manufacturing systems using genetic algorithms;Chaudhry;J. Cent. S. Univ.,2011

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