Hybridizing guided genetic algorithm and single-based metaheuristics to solve unrelated parallel machine scheduling problem with scarce resources

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Hybridizing guided genetic algorithm and single-based metaheuristics to solve unrelated parallel machine scheduling problem with scarce resources

This paper focuses on solving unrelated parallel machine scheduling with resource constraints (UPMR). There are j jobs, and each job needs to be processed on one of the machines aim at minimizing the makespan. Besides the dependence of the machine, the processing time of any job depends on the usage...

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Bibliographic Details
Main Authors:	Abed, Munther H., Mohd Nizam, Mohmad Kahar
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science (IAES) 2023
Subjects:	Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/37282/ http://umpir.ump.edu.my/id/eprint/37282/1/Hybridizing%20guided%20genetic%20algorithm.pdf

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