Using the gravitational emulation local search algorithm to solve the multi-objective flexible dynamic job shop scheduling problem in Small and Medium Enterprises-Reference-Cited by-同舟云学术

Using the gravitational emulation local search algorithm to solve the multi-objective flexible dynamic job shop scheduling problem in Small and Medium Enterprises

Published:2014-12-19 Issue:1 Volume:229 Page:451-474
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Hosseinabadi Ali Asghar Rahmani,Siar Hajar,Shamshirband Shahaboddin,Shojafar Mohammad,Nasir Mohd Hairul Nizam Md.

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

http://link.springer.com/content/pdf/10.1007/s10479-014-1770-8.pdf

Reference40 articles.

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4. Bennett, K. P., & Parrado-Hernández, E. (2006). The interplay of optimization and machine learning research. Journal of Machine Learning Research, 7, 1265–1281.

5. Brandimarte, P. (1993). Routing and scheduling in a flexible job shop by tabu search. Annals of Operations Research, 41, 157–183.

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