Multi-objective optimization of abrasive waterjet machining process using Jaya algorithm and PROMETHEE Method-Reference-Cited by-同舟云学术

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Multi-objective optimization of abrasive waterjet machining process using Jaya algorithm and PROMETHEE Method

Published:2017-11-24 Issue:5 Volume:30 Page:2101-2127
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Rao R. Venkata,Rai Dhiraj P.,Balic J.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-017-1373-8.pdf

Reference42 articles.

1. Aydin, G., Karakurt, I., & Hamzacebi, C. (2014). Artificial neural network and regression models for performance prediction of abrasive waterjet in rock cutting. International Journal of Advanced Manufacturing Technology, 75, 1321–1330.

2. Chandrasekaran, M., Muralidhar, M., Krishna, C. M., & Dixit, U. S. (2010). Application of soft computing techniques in machining performance prediction and optimization? A literature review. International Journal of Advanced Manufacturing Technology, 46, 445–464.

3. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transaction on Evolutionary Computation, 6, 182–197.

4. Ergur, H. S., & Oysal, Y. (2015). Estimation of cutting speed in abrasive water jet using an adaptive wavelet neural network. Journal of Intelligent Manufacturing, 26, 403–413.

5. Falco, I. D., Scafuri, U., & Tarantino, E. (2016). Optimizing personalized touristic itineraries by a multiobjective evolutionary algorithm. International Journal of Information Technology & Decision Making, 15, 1269–1312.

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