A multi-objective particle swarm for constraint and unconstrained problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-05555-6.pdf
Reference95 articles.
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3. Deb K (2001) Multi-objective optimization. Multi-objective optimization using evolutionary algorithms. Wiley, West Sussex, pp 13–45
4. Lalwani S, Singhal S, Kumar R, Gupta N (2013) A comprehensive survey: applications of multi-objective particle swarm optimization (MOPSO) algorithm. Trans Combin 2(1):39–101. https://doi.org/10.22108/TOC.2013.2834
5. Kulkarni MNK, Patekar MS, Bhoskar MT, Kulkarni MO, Kakandikar GM, Nandedkar VM (2015) Particle swarm optimization applications to mechanical engineering—a review. Mater Today Proc 2(4–5):2631–2639. https://doi.org/10.1016/j.matpr.2015.07.223
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