Sensitivity analysis on Gaussian quantum-behaved particle swarm optimization control parameters
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08011-4.pdf
Reference37 articles.
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3. Coello CAC (2000) Use of a self-adaptive penalty approach for engineering optimization problems. Comput Ind 41(2):113–127
4. Coello Coello CA (2002) Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput Methods Appl Mech Eng 191(11–12):1245–1287. https://doi.org/10.1016/S0045-7825(01)00323-1
5. dos Coelho L, S. (2010) Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems. Expert Syst Appl 37(2):1676–1683. https://doi.org/10.1016/j.eswa.2009.06.044
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