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higlighted_results_separable_functions [2011/11/03 12:55]
vhm
higlighted_results_separable_functions [2011/11/03 14:13] (current)
vhm
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 Empirical runtime distributions on //separabale// functions (f1: Sphere, f2: Ellipsoid, f3: Rastrigin, f4: Büche-Rastrigin, f5: Linear Slope) with target values in {100, ..., 1e-8} in dimension 20. Empirical runtime distributions on //separabale// functions (f1: Sphere, f2: Ellipsoid, f3: Rastrigin, f4: Büche-Rastrigin, f5: Linear Slope) with target values in {100, ..., 1e-8} in dimension 20.
  
-The following algorithms perform particularly well up to their individual maximum number of function evaluations: //NEWUOA// (NEW Unconstraint Optimization Algorithm builds a second order model using $2n+1points and with minimal Frobenius norm), //LSfminbnd// (Axis-parallel line search with MATLAB fminbnd univariate search) and //LSstep// (Axis-parallel line search with the univariate STEP Select The Easiest Point, based on interval division).+The following algorithms perform particularly well up to their individual maximum number of function evaluations: //NEWUOA// (NEW Unconstraint Optimization Algorithm builds a second order model using 2n+1 points and with minimal Frobenius norm), //LSfminbnd// (Axis-parallel line search with MATLAB fminbnd univariate search) and //LSstep// (Axis-parallel line search with the univariate STEP Select The Easiest Point, based on interval division).
higlighted_results_separable_functions.txt · Last modified: 2011/11/03 14:13 by vhm
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