An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems-Reference-Cited by-同舟云学术

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An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems

Published:2015-12-19 Issue:6 Volume:29 Page:1337-1349
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Sang Hong-Yan,Pan Quan-Ke,Duan Pei-Yong,Li Jun-Qing

Funder

National Natural Science Foundation of China (CN)

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/article/10.1007/s10845-015-1182-x/fulltext.html

Reference44 articles.

1. Allahverdi, A., & Aydilek, H. (2015). Harun the two stage assembly flowshop scheduling problem to minimize total tardiness. Journal of Intelligent Manufacturing, 26, 225–237.

2. Allahverdi, A., Aydilek, H., & Aydilek, A. (2014). Single machine scheduling problem with interval processing times to minimize mean weighted completion time. Computers & Operations Research, 51, 200–207.

3. Allahverdi, A., Gupta, J. N. D., & Aldowaisan, T. (1999). A review of scheduling research involving setup considerations. Omega-International Journal of Management Science, 27(2), 219–239.

4. Benlic, U., & Hao, J.-K. (2013). Breakout local search for maximum clique problems. Computers & Operations Research, 40, 192–206.

5. Chakaravarthy, G. Vijay, Marimuthu, S., Ponnambalam, S. G., & Kanagaraj, G. (2014). Improved sheep flock heredity algorithm and artificial bee colony algorithm for scheduling $$m$$ m -machine flow shops lot streaming with equal size sublot problems. International Journal of Production Research, 52(5), 1509–1527.

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