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% Genetic Algorithm Direct Search Toolbox
%
% Genetic Algorithm Demos
% gafitness - Writing a fitness function to use with GA.
% gaoptionsdemo - Changing options for GA using GAOPTIMSET.
% hybriddemo - Using a hybrid scheme in GA with Optimization
% Toolbox.
%
% Direct Search Demos
% psobjective - Writing an objective function to use with
% PATTERNSEARCH.
% psoptionsdemo - Changing options for PATTERNSEARCH using PSOPTIMSET.
%
% Genetic Algorithm Examples
% deterministicstudy - A deterministic study of the GA options on
% performance.
% multiobjective - Working with more than one fitness function.
%
% Pattern Search Examples
% mtwashingtondemo - Finding the highest mountain in white
% mountains region.
% Objective/fitness functions
% ackleyfcn - Compute the "Ackley" function.
% dejong1fcn - Compute DeJongs first function.
% dejong2fcn - Compute DeJongs second function.
% eggholder - Compute "Eggholder" function.
% rastriginsfcn - Compute the "Rastrigin" function.
% ps_example - A discontinuous objective function.
% lincontest2 - A linear objective function.
% lincontest6 - A quadratic objective function.
% lincontest7 - A quadratic objective function.
% shufcn - Objective function with more than one minimum.
% discont_objective - A discontinuous objective function.
% simple_fitness - A simple fitness function.
% simple_objective - A simple objective function.
% parameterized_fitness - A fitness function with additional
% parameters.
% parameterized_objective - An objective function with additional
% parameters.
% vectorized_fitness - A vectorized fitness function.
% vectorized_objective - A vectorizd objective function.
% terrainfun - Objective function for mtwashingtondemo.
%
% Helper functions
% plotobjective - Plot a two dimensional fitness function.
% Genetic Algorithm and Direct Search Toolbox
% Copyright 2004 The MathWorks, Inc.
% $Revision $ $Date: 2004/03/09 16:16:07 $
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