Linear programming assisted (not embedded) genetic algorithm for flexible jobshop scheduling with lot streaming-Reference-Cited by-同舟云学术

Linear programming assisted (not embedded) genetic algorithm for flexible jobshop scheduling with lot streaming

Published:2018-03 Issue: Volume:117 Page:319-335
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Defersha Fantahun M.,Bayat Movahed Saber

Funder

Natural Science and Engineering Research Council

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference45 articles.

1. A comprehensive mathematical model for dynamic cellular manufacturing system design and linear programming embedded hybrid solution techniques;Bayram;Computers & Industrial Engineering,2016

2. Time-based competition;Blackburn,1991

3. Blesa, M. J., Blum, C., Cangelosi, A., Cutello, V., Di Nuovo, A., Pavone, M., & Talbi, E. G. (Eds.) (2016). The 10th international workshop on hybrid metaheuristics HM2016, June 8–10, 2016. Plymouth, UK.

4. Hybrid metaheuristics in combinatorial optimization: A survey;Blum;Applied Soft Computing,2011

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