Representations in Genetic Algorithm for the Job Shop Scheduling Problem: A Computational Study

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Journal of Software Engineering and Applications

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ISSN Online: 1945-3124
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"Representations in Genetic Algorithm for the Job Shop Scheduling Problem: A Computational Study"
written by Tamer F. Abdelmaguid,
published by Journal of Software Engineering and Applications, Vol.3 No.12, 2010

has been cited by the following article(s):

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[1]	Solving job shop scheduling problems without using a bias for good solutions Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021 DOI:10.1145/3449726.3463124

[2]	Solving job shop scheduling problems without using a bias for good solutions Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021 DOI:10.1145/3449726.3463124

[3]	Sustainable Integrated Process Planning and Scheduling Optimization Using a Genetic Algorithm with an Integrated Chromosome Representation Sustainability, 2019 DOI:10.3390/su11020502

[4]	Crossover and Mutation Strategies applied in Job Shop Scheduling Problems Journal of Physics: Conference Series, 2019 DOI:10.1088/1742-6596/1377/1/012031

[5]	A Promising Initial Population Based Genetic Algorithm for Job Shop Scheduling Problem Journal of Software Engineering and Applications, 2016 DOI:10.4236/jsea.2016.95017

[6]	Developing a job shop scheduling system through integration of graphic user interface and genetic algorithm Multimedia Tools and Applications, 2015 DOI:10.1007/s11042-014-1965-7

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[8]	The Industry Assembly Line Layout’s Modeling and Simulation in Industry Manufacturing Based on Genetic Algorithm Advanced Materials Research, 2013 DOI:10.4028/www.scientific.net/AMR.675.3

[9]	Genetic algorithm for scheduling reentrant jobs on parallel machines with a remote server Transactions of Tianjin University, 2013 DOI:10.1007/s12209-013-2102-9

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