The solution of the concurrent layout scheduling problem in the job-shop environment through a local neighborhood search algorithm-Reference-Cited by-同舟云学术

The solution of the concurrent layout scheduling problem in the job-shop environment through a local neighborhood search algorithm

Published:2020-04 Issue: Volume:144 Page:113096
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Hernández-Gress Eva Selene,Seck-Tuoh-Mora Juan Carlos^ORCID,Hernández-Romero Norberto^ORCID,Medina-Marín Joselito,Lagos-Eulogio Pedro,Ortíz-Perea Javier

Funder

CONACYT

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference68 articles.

1. Game of life cellular automata;Adamatzky,2010

2. Using ant colony optimization to solve hybrid flow shop scheduling problems;Alaykýran;International Journal of Advanced Manufacturing Technology,2007

3. An enhanced genetic algorithm with simulated annealing for job shop scheduling;Anantha;International Journal of Engineering, Science and Technology,2010

4. An integrated fuzzy simulation-fuzzy data envelopment analysis algorithm for job-shop layout optimization: The case of injection process with ambiguous data;Azadeh;European Journal of Operational Research,2011

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