Generation of complex nonlinear benchmark functions for optimization using fuzzy sets and classical test functions

In this paper, we present a novel methodology to generate complex functionsusing two-dimensional fuzzy sets as weights for combining classical benchmarkfunctions. These new functions have different characteristics from original ones,but the minimum, borders and geometry characteristics of the functi...

Full description

Autores:
Mesa, Eddy
Velásquez, Juan David
Jaramillo, Patricia
Tipo de recurso:
Article of journal
Fecha de publicación:
2011
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/792
Acceso en línea:
http://hdl.handle.net/11407/792
Palabra clave:
Minimization
maximization
fuzzy operators
global optimization
test problems.
Rights
License
http://creativecommons.org/licenses/by-nc-sa/4.0/