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...
- 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/