An efficient two-stage genetic algorithm for a flexible job-shop scheduling problem with sequence dependent attached/detached setup, machine release date and lag-time
Author:
Funder
National Science and Engineering Research Counsel of Canada
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference82 articles.
1. A neighborhood search function for flexible job shop scheduling with separable sequence-dependent setup times;Abdelmaguid;Applied Mathematics and Computation,2015
2. The shifiting bottleneck procedure for job-shop scheduling;Adams;Management Science,1998
3. Recent research trends in genetic algorithm based flexible job shop scheduling problems;Amjad;Mathematical Problems in Engineering,2018
4. Bi-criteria flexible job-shop scheduling with sequence-dependent setup times-variable neighborhood search approach;Bagheri;Journal of Manufacturing Systems,2011
5. A population initialization method for evolutionary algorithms based on clustering and cauchy deviates;Bajer;Expert Systems With Applications,2016
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