Genetic algorithms in supply chain management: A critical analysis of the literature-Reference-Cited by-同舟云学术

Genetic algorithms in supply chain management: A critical analysis of the literature

Published:2016-09 Issue:9 Volume:41 Page:993-1017
ISSN:0256-2499
Container-title:Sādhanā
language:en
Short-container-title:Sādhanā

Author:

Jauhar Sunil Kumar,Pant Millie

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s12046-016-0538-z.pdf

Reference259 articles.

1. Hadavandi E, Shavandia H and Ghanbarib A 2011 An improved sales forecasting approach by the integration of genetic fuzzy systems and data clustering: Case study of printed circuit board. Expert Syst. Appl. 38: 9392–9399

2. Pal S K and Ghosh A 2004 Soft computing data mining. Inform. Sci. 163(1): 1–3

3. Furuhashi T, Roy R, Chawdhry P 1999 Advances in soft computing: Engineering design and manufacturing. Berlin: Springer

4. Jeong B, Junga H S and Parkb N K 2002 A computerized causal forecasting system using genetic algorithms in supply chain management. J. Syst. Softw. 60: 223–237

5. Falkenauer E and Bouffouix S 1991 A genetic algorithm for job shop. In: Proceedings of IEEE International Conference on Robotics and Automation, 1991, pp. 824–829

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