On the selection of surrogate models in evolutionary optimization algorithms

2011 IEEE Congress of Evolutionary Computation, CEC 2011

Volumn , Issue , 2011, Pages 2155-2162

  Díaz Manriquez, Alan ^a   Toscano Pulido, Gregorio ^a   Gómez Flores, Wilfrido ^a  

^a DEPARTAMENTO DE FÍSICA   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

BIO-INSPIRED; COMPARISON STUDY; COMPUTATIONAL COSTS; DESIGN SPACES; EVOLUTIONARY OPTIMIZATION ALGORITHM; EXPENSIVE FUNCTION; HIGH DIMENSIONALITY; KRIGING; META HEURISTICS; META MODEL; META-MODELING TECHNIQUE; NON-DIFFERENTIABILITY; NON-LINEARITY; OPTIMIZATION FUNCTION; OPTIMIZATION PROBLEMS; OPTIMIZATION TECHNIQUES; RADIAL BASIS FUNCTIONS; REAL-WORLD PROBLEM; SUPPORT VECTOR REGRESSIONS; SURROGATE MODEL;

APPROXIMATION ALGORITHMS; FUEL ADDITIVES; FUNCTION EVALUATION; OPTIMIZATION; POLYNOMIAL APPROXIMATION; RADIAL BASIS FUNCTION NETWORKS; SCALABILITY;

EVOLUTIONARY ALGORITHMS;

EID: 80051968527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2011.5949881     Document Type: Conference Paper

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