Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map-Reference-Cited by-同舟云学术

Vector optimization of laser solid freeform fabrication system using a hierarchical mutable smart bee-fuzzy inference system and hybrid NSGA-II/self-organizing map

Published:2012-12-11 Issue:4 Volume:25 Page:775-795
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Fathi Alireza,Mozaffari Ahmad

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-012-0718-6.pdf

Reference46 articles.

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2. Alashti, R. A., Gorji-Bandpy, M., Mozaffari, A. (2012). Vector mutable smart bee algorithm for engineering optimization. International journal of computational science and engineering. International Journal of Computational Science and Engineering, Accepted for Publication (in press)

3. Alimardani, M., & Toyserkani, E. (2008). Prediction of laser solid freeform fabrication using a neuro-fuzzy approach. Applied Soft Computing, 8(1), 316–323.

4. Azamathulla, H. M., Ghani, A. B., & Fei, S. Y. (2012). ANFIS-based approach for predicting sediment transport in clean sewer. Applied Soft Computing, 12(3), 1227–1230.

5. Carrese, R., Winarto, H., Li, X., Sobester, A., & Ebenezer, S. (2012). A comprehensive preference-based optimization framework with application to high-lift aerodynamic design. Engineering Optimization. doi: 10.1080/0305215X.2011.637558 .

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