Capacitated lot sizing by using multi-chromosome crossover strategy-Reference-Cited by-同舟云学术

Capacitated lot sizing by using multi-chromosome crossover strategy

Published:2008-01-24 Issue:3 Volume:19 Page:273-282
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Süer Gürsel A.,Badurdeen Fazleena,Dissanayake Nishantha

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-008-0080-x.pdf

Reference10 articles.

1. Dellaert N., Jeunet J., Jonard N. (2000) A genetic algorithm to solve the general multi-level lot-sizing problem with time-varying costs. International Journal of Production Economics 68: 241–257

2. Gutierrez, E., Hernandez, W., & Süer, G. (2002). Genetic algorithms in capacitated lot sizing decisions. Working Paper, Department of Industrial Engineering, University of Puerto Rico.

3. Hong-hang Y., Zhi-ming W. (2003) Two level GA-based approach to the capacitated lot sizing problem for multi-plants supply chain. Journal of Shanghai Jiaotong University 137(4): 473–478

4. Karimi B., Ghomi S.M.T.F., Wilson J.M. (2003) The capacitated lot sizing problem: A review of models and algorithms. Omega 31: 365–378

5. Özdamar L., Birbil S.I. (1998) Theory and methodology: Hybrid heuristics for the capacitated lot sizing and loading problem with setup times and overtime decisions. European Journal of Operational Research 110(3): 525–547

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