A Genetic Algorithm applied to pick sequencing for billing-Reference-Cited by-同舟云学术

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A Genetic Algorithm applied to pick sequencing for billing

Published:2015-06-26 Issue:2 Volume:29 Page:405-422
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Pinto Anderson Rogério Faia,Crepaldi Antonio Fernando,Nagano Marcelo Seido

Funder

Conselho Nacional de Desenvolvimento Cientifico e Tecnol?gico (CNPq) - Brazil

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-015-1116-7.pdf

Reference66 articles.

1. Ayala, F. J. (2010). Darwin’s explanation of design: From natural theology to natural selection. Infection, Genetics and Evolution, 10(6), 840–848.

2. Bäck, T., & Schwefel, H. P. (1993). An overview of evolutionary algorithms for parameter optimization. Evolutionary Computation, 1(1), 1–28.

3. Bandyopadhyay, S., & Bhattacharya, R. (2014). Solving a tri-objective supply chain problem with modified NSGA-II algorithm. Journal of Manufacturing Systems, 33(1), 41–50.

4. Baud-Lavigne, B., Bassetto, S., & Agard, B. (2014). A method for a robust optimization of joint product and supply chain design. Journal of Intelligent Manufacturing, pp. 1-9. doi: 10.1007/s10845-014-0908-5 .

5. Bertrand, J. W. M., & Fransoo, J. C. (2002). Modelling and simulation: Operations management research methodologies using quantitative modeling. International Journal of Operations and Production Management, 22(2), 241–264.

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