A hybrid shuffled complex evolution approach based on differential evolution for unconstrained optimization

DOI10.1016/J.AMC.2010.12.064zbMath1209.65061OpenAlexW2049623580MaRDI QIDQ628958

Viviana Cocco Mariani, Fábio Alessandro Guerra, Leandro dos Santos Coelho, Luiz Guilherme Justi Luvizotto

Publication date: 8 March 2011

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2010.12.064

zbMATH Keywords

unconstrained optimizationnumerical examplesgenetic algorithmevolutionary algorithmsdifferential evolutionmetaheuristic algorithmshuffled complex evolution algorithmbenchmark functions

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Stochastic programming (90C15)

Related Items (3)

Parameter estimation in rainfall-runoff modelling using distributed versions of particle swarm optimization algorithm ⋮ The role of different genetic operators in the optimization of magnetic models ⋮ A comparison of selected modifications of the particle swarm optimization algorithm

Uses Software

• Genocop
• minpack

Cites Work

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