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htm gaotin~1.htm

Genetic Algorithm Optimization Toolbox (GAOT) The following files are in the distribution: Main interface ga.m
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3 gsm_option.3

.\" .\" Copyright 1992-1995 by Jutta Degener and Carsten Bormann, Technische .\" Universitaet Berlin. See the accompanying file "COPYRIGHT" for .\" details. THERE IS ABSOLUTELY NO WARRANTY FOR THIS
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m treelevel.m

function s=treelevel(tree) %TREELEVEL Counts the number of levels of a GPLAB algorithm tree. % TREELEVEL(TREE) returns the number of levels, or depth, of a % GPLAB algorithm individual repre
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m validateinds.m

function [validinds,state]=validateinds(inds,pop,params,state,data,parentindices,opnum) %VALIDATEINDS Applies validation procedures to new GPLAB individuals. % [VALIDINDS,STATE]=VALIDATEINDS(IN
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m strictdepth.m

function [validind,state]=strictdepth(ind,pop,params,state,data,parentindices) %STRICTDEPTH Applies strict depth filters to a new GPLAB individual. % [VALIDIND,STATE]=STRICTDEPTH(IND,POP,PARAMS
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m xy2inout.m

function result=xy2inout(x,y) %XY2INOUT Transforms matrices into a GPLAB algorithm data set (input and output). % XY2INOUT(X,Y) returns a struct array with input and desired output % data fo
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m nodes.m

function s=nodes(tree) %NODES Counts the number of nodes of a GPLAB algorithm tree. % NODES(TREE) returns the number of nodes (functions and % terminals) of a GPLAB algorithm individual repr
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m sampling.m

function [pool,expected,normfitness]=sampling(pop,params,state,opnum) %SAMPLING Draws individuals for parenthood in the GPLAB algorithm. % SAMPLING(POPULATION,PARAMS,STATE,OPNUM) returns a pool
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m absolute.m

function [expected,normfitness]=absolute(pop,params,state) %ABSOLUTE Calculates expected number of offspring for the GPLAB algorithm. % ABSOLUTE(POPULATION,STATE) returns the vector with the ex
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m strictnodes.m

function [validind,state]=strictnodes(ind,pop,params,state,data,parentindices) %STRICTNODES Applies strict size filters to a new GPLAB individual. % [VALIDIND,STATE]=STRICTNODES(IND,POP,PARAMS,
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