Hybrid Micro Genetic Multi-Population Algorithm With Collective Communication for the Job Shop Scheduling Problem

Hybrid Micro Genetic Multi-Population Algorithm With Collective Communication for the Job Shop Scheduling Problem

This paper presents a hybrid genetic algorithm with collective communication (HGACC) using distributed processing for the job shop scheduling problem. The genetic algorithm starts with a set of elite micro-populations created randomly, where the fitness of these individuals does not exceed a tuned u...

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Bibliographic Details
Main Authors: Marco Antonio Cruz-Chavez, Martin H. Cruz Rosales, Jose Crispin Zavala-Diaz, Jose Alberto Hernandez Aguilar, Abelardo Rodriguez-Leon, Juan Carlos Prince Avelino, Martha Elena Luna Ortiz, Oscar H. Salinas
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Genetic approximation
hamming distance
processes
barrier
landscape
micro-population
Online Access:https://ieeexplore.ieee.org/document/8743353/

Internet

https://ieeexplore.ieee.org/document/8743353/

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