Function minimization example - using FloatingPoint or Binary genotype (see more on this example in help/tutorial.html) More...

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class	FunctionMinEvalOp
	Function minimization evaluation class. More...

Detailed Description

Function minimization example - using FloatingPoint or Binary genotype (see more on this example in help/tutorial.html)

Description: Tries to find the (global) minimum of a continuous multidimensional function. The example uses either FloatingPoint or Binary genotype. Functions are implemented in Black-Box Optimization Benchmarking package available at http://coco.gforge.inria.fr. The location of the optimum is drawn uniformly from [-4, 4] in all dimensions for all functions. The value of the optimum of all functions is set to zero in this example (in original BBOB package the value is in [-100, 100]).

The example produces two executables (separate VS projects):

funcmin: runs the selected algorithm on a selected function
ecf_experiment: runs the selected algorithm on a range of functions in a BBOB-defined experimentation scheme (see exampleexperiment.cpp)

To run the ecf_experiment executable:

define functions and function instances in exampleexperiment.cpp
define all the other parameters (the algorithm, output folder, dimension, termination criteria) in the configuration file (see parameters.txt)

Parameters (in the config file)

"coco.function": defines the minimization function to be used (default: 1); 1-24 noiseless functions, 101-130 noisy
"coco.enableoutput": should COCO framework output results for post-processing (disabled by default)
"coco.folder": destination folder for COCO output; must be created beforehand (see /bbob/README.txt)
with FloatingPoint genotype, a number of dimensions and the interval [lbound, ubound] must be set
with Binary genotype, a number of dimensions, the interval [lbound, ubound] and precision (number of digits after the decimal point) must be set

References

Classes