A clustering-based modified variable neighborhood search algorithm for a dynamic job shop scheduling problem-Reference-Cited by-同舟云学术

A clustering-based modified variable neighborhood search algorithm for a dynamic job shop scheduling problem

Published:2013-11-05 Issue:9-12 Volume:70 Page:1955-1961
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Adibi Mohammad Amin,Shahrabi Jamal

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-013-5354-6.pdf

Reference33 articles.

1. Qi JG, Burns GR, Harrison DK (2000) The application of parallel multi-population genetic algorithms to dynamic job shop scheduling. Int J Adv Manuf Technol 16:609–615

2. Chryssolouris G, Subramanian E (2001) Dynamic scheduling of manufacturing job shops using genetic algorithm. J Intell Manuf 12:281–293

3. Dewan P, Joshi S (2001) Implementation of an auction-based distributed scheduling model for a dynamic job shop environment. Int J Comput Integr Manuf 14:446–456

4. Dominic PDD, Kaliyamoorthy S, Saravana Kumar M (2004) Efficient dispatching rules for dynamic job shop scheduling. Int J Adv Manuf Technol 24:70–75

5. Yang G, Yu-si D, Hong-yu Z (2009) Job-shop Scheduling Considering Rescheduling in Uncertain Dynamic Environment. International Conference on Management Science and Engineering - 16th Annual Conference Proceedings, ICMSE, art. no. 5317409, pp. 380–384

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