initialize_variables.m ( File view )

  • By moeah 2014-04-18
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			function f = initialize_variables(N, M, V, min_range, max_range)

%% function f = initialize_variables(N, M, V, min_tange, max_range) 
% This function initializes the chromosomes. Each chromosome has the
% following at this stage
%       * set of decision variables
%       * objective function values
% 
% where,
% N - Population size
% M - Number of objective functions
% V - Number of decision variables
% min_range - A vector of decimal values which indicate the minimum value
% for each decision variable.
% max_range - Vector of maximum possible values for decision variables.

%  Copyright (c) 2009, Aravind Seshadri
%  All rights reserved.
%
%  Redistribution and use in source and binary forms, with or without 
%  modification, are permitted provided that the following conditions are 
%  met:
%
%     * Redistributions of source code must retain the above copyright 
%       notice, this list of conditions and the following disclaimer.
%     * Redistributions in binary form must reproduce the above copyright 
%       notice, this list of conditions and the following disclaimer in 
%       the documentation and/or other materials provided with the distribution
%      
%  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 
%  AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 
%  IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 
%  ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE 
%  LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 
%  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 
%  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 
%  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 
%  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 
%  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 
%  POSSIBILITY OF SUCH DAMAGE.

min = min_range;
max = max_range;

% K is the total number of array elements. For ease of computation decision
% variables and objective functions are concatenated to form a single
% array. For crossover and mutation only the decision variables are used
% while for selection, o
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01.96 kB
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replace_chromosome.html7.98 kB2006-03-16|16:38
objective_description_function.html6.25 kB2006-03-16|16:31
nsga_2.html20.78 kB2006-03-16|16:29
non_domination_sort_mod.html18.88 kB2006-03-16|16:35
initialize_variables.html6.42 kB2006-03-16|16:30
genetic_operator.html14.78 kB2006-03-16|16:30
evaluate_objective.html7.08 kB2006-03-16|16:28
NSGA131.01 kB2006-03-19|20:24
evaluate_objective.m2.16 kB2006-03-16|16:28
genetic_operator.m6.93 kB2009-07-16|10:08
initialize_variables.m3.34 kB2009-07-16|10:09
non_domination_sort_mod.m8.30 kB2009-07-16|10:09
nsga_2.m9.30 kB2009-07-16|10:09
objective_description_function.m3.52 kB2009-07-16|10:09
replace_chromosome.m4.02 kB2009-07-16|10:09
tournament_selection.m4.91 kB2009-07-16|10:09
license.txt1.31 kB2009-07-19|16:16
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initialize_variables.m (153.84 kB)

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