An Experimental Study of Grouping Mutation Operators for the Unrelated Parallel-Machine Scheduling Problem

An Experimental Study of Grouping Mutation Operators for the Unrelated Parallel-Machine Scheduling Problem

The Grouping Genetic Algorithm (GGA) is an extension to the standard Genetic Algorithm that uses a group-based representation scheme and variation operators that work at the group-level. This metaheuristic is one of the most used to solve combinatorial optimization grouping problems. Its optimizatio...

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Bibliographic Details
Main Authors: Octavio Ramos-Figueroa, Marcela Quiroz-Castellanos, Efrén Mezura-Montes, Nicandro Cruz-Ramírez
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematical and Computational Applications
Subjects:
grouping genetic algorithm
grouping mutation operator
grouping problem
unrelated parallel-machine scheduling
Online Access:https://www.mdpi.com/2297-8747/28/1/6

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https://www.mdpi.com/2297-8747/28/1/6

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