Multi-objective social group optimization for machining process
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s12065-023-00856-w.pdf
Reference40 articles.
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2. Coello CAC, Lamont GB, Van Veldhuizen DA (2007) Evolutionary algorithms for solving multi-objective problems, vol 5. Springer, New York, pp 79–104
3. Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: International conference on parallel problem solving from nature. Springer, Berlin, Heidelberg, pp 849–858
4. Deb K and Goel T (2001) Controlled elitist non-dominated sorting genetic algorithms for better convergence. In: International conference on evolutionary multi-criterion optimization. Springer, Berlin, Heidelberg, pp 67–81
5. Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6:182–197
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