fitness.m
来自「TSP问题matlab遗传算法verygood」· M 代码 · 共 23 行
M
23 行
function fit = fitness(gene)
%% Fitness evaluation
% This function evaluates the fitness of the passed gene for the system
% being identified
% fit = fitness(gene)
% gene ==> the gene passed
% fit ==> the evaluated fitness of the gene
%
% Author: Wesam ELSHAMY
% wesamelshamy@ieee.org
% Electrical Engineering Dept., Cairo University, Egypt
global Na Nb Nk Y U
a = gene(1 : Na); % extracting a parameters
b = gene(Na + 1 : Na + Nb); % and b parameters
e = zeros(1, size(Y, 1));
for t = max(Na + 1, Nb + Nk) : size(Y, 1)
e(t) = Y(t) + a*Y(t - Na : t - 1) - b*U(t - Nk - Nb + 1 : t - Nk); % ARX model
end
fit = sum(abs(e))/size(e, 2); % and calculates the fitness
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