![]() Runtime measurement of average tree level, number of nodes, number of introns,Ĥ demonstration functions (symbolic regression, parity, artificial ant, multiplexer) Runtime measurement of population diversity (2 measures, optional) Offline graphical output (5 functions, optional) Runtime graphical output (4 plots, optional) ![]() Saving of results to files (5 frequency modes, optional) Offline cross-validation or prediction of results by any individual (optional) Runtime cross-validation of the best individual of the run (optional) Regression and parity problems + artificial ant problems) Pressure Tournament, Double Tournament )ģ modes of calculating the expected number of offspring (absolute + 2 rankingĢ methods for reading input files and for calculating fitness (symbolic Steady-state + generational + batch modes, with fuzzy frontiers betweenĥ sampling methods (Roulette, SUS, Tournament, Lexicographic Parsimony Resource-limited GP (variable size populations) (optional)ĭynamic populations (variable size populations) (optional)Ĥ genetic operators (crossover, mutation, swap mutation, shrink mutation)Ĭonfigurable automatic adaptation of operator probabilities Several pre-made functions and terminals for building treesĭynamic limits on tree depth or size (optional) Some of the features of GPLAB (good or bad):ģ modes of tree initialization (Full, Grow, Ramped Half-and-Half) + 3 variations on these Illustration of the operational structure The features and references are being updated (2015). Note: the operational structure is now somewhat outdated, but it may still be useful anyway. ![]() For details, please read the user's manual. Versatile and easily extendable tool, as long as you have minimum knowledge Most of its functions are used as "plug and play" devices, making it a GPLAB is a Genetic Programming toolbox for MATLAB. Home features download older versions new versions acknowledgements
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