CEC 2014 Real-Parameter Single Objective Optimization - using FloatingPoint or Binary genotype. More...

Classes
class	FunctionMinEvalOp
	Function minimization evaluation class. More...

Detailed Description

CEC 2014 Real-Parameter Single Objective Optimization - using FloatingPoint or Binary genotype.

Description: Tries to find the (global) minimum of a continuous multidimensional function. The example uses either FloatingPoint or Binary genotype. Functions are implemented in a package available at http://www.ntu.edu.sg/home/EPNSugan/index_files/CEC2014/CEC2014.htm.

The shifted global optimum (defined in 'shift_data_x.txt') is randomly distributed in [-80,80]^D. Search range: [-100,100]^D. The value of the optimum of all functions is equal to (functionID * 100) (see documentation, link below).

IMPORTANT: the CEC input data folder must be in path to run the experiments. DOWNLOAD the required data and place them in "input_data" folder from http://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared%20Documents/CEC-2014/cec14-c-code.zip Since the data size is 35MB, it is NOT included in the ECF package.

Parameters (in the config file)

"cec.function": defines the minimization function to be used (default: 1); valid range: 1-30
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

Detailed Description