Single and Multiobjective Genetic Algorithm Toolbox for Matlab in C++
Kumara S.
Report, University of Illinois at Urbana-Champaign, Urbana IL 61801, 15 p, June 5, 2007
This report provides documentation for the general purpose genetic algorithm toolbox for
matlab in C++. The fitness function used in the toolbox is written in matlab. The toolbox provides
different selection, recombination, mutation, niching, and constraint-handling operators.
Problems with single and multiple objectives can be solved with the toolbox. Moreover, the
toolbox is easily extensible and customizable for incorporating other operators and for solving
user-defined search problems.
This report provides documentation for the general purpose genetic algorithm toolbox for
matlab in C++. The fitness function used in the toolbox is written in matlab. The toolbox provides
different selection, recombination, mutation, niching, and constraint-handling operators.
Problems with single and multiple objectives can be solved with the toolbox. Moreover, the
toolbox is easily extensible and customizable for incorporating other operators and for solving
user-defined search problems.
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