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Update niching_func.m #4

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b2ca20a
Update niching_func.m
Daizy97 Mar 5, 2020
c14b44f
Update niching_func.m
Daizy97 Mar 5, 2020
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24 changes: 12 additions & 12 deletions matlab/niching_func.m
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Original file line number Diff line number Diff line change
Expand Up @@ -204,19 +204,19 @@
%1. Composition Function 1, n=6
%==============================================================================
function fit = CF1(x)
global initial_flag
persistent func_num func o sigma lambda bias M
persistent func_num func o sigma lambda bias M initial_flag dim

[ps,D] = size(x);
func_num = 6;
lb = -5; ub = 5;
if initial_flag==0
if initial_flag==0 || D ~= dim % if run this function for the first time or run the same function with different dimensions of x
load data/optima.mat % saved the predefined optima
if length( o(1,:) ) >= D
o = o(:,1:D);
else
o = lb + (ub - lb) * rand(func_num,D);
end
dim = size(o,2); % record the dimension
initial_flag=1;
func.f1 = str2func('FGriewank');
func.f2 = str2func('FGriewank');
Expand All @@ -238,20 +238,20 @@
%2. Composition Function 2, n=8
%==============================================================================
function fit = CF2(x)
global initial_flag
persistent func_num func o sigma lambda bias M
persistent func_num func o sigma lambda bias M initial_flag dim

[ps,D] = size(x);
func_num = 8;
lb = -5; ub = 5;
if initial_flag==0
if initial_flag==0 || D ~= dim % if run this function for the first time or run the same function with different dimensions of x
initial_flag=1;
load data/optima.mat % saved the predefined optima
if length( o(1,:) ) >= D
o = o(:,1:D);
else
o = lb + (ub - lb) * rand(func_num,D);
end
dim = size(o,2); % record the dimension
func.f1 = str2func('FRastrigin');
func.f2 = str2func('FRastrigin');
func.f3 = str2func('FWeierstrass');
Expand All @@ -274,20 +274,20 @@
%3. Composition Function 3, n=6
%==============================================================================
function fit = CF3(x)
global initial_flag
persistent func_num func o sigma lambda bias M
persistent func_num func o sigma lambda bias M initial_flag dim

[ps,D] = size(x);
func_num = 6;
lb = -5; ub = 5;
if initial_flag==0
if initial_flag==0 || D ~= dim % if run this function for the first time or run the same function with different dimensions of x
initial_flag=1;
load data/optima.mat % saved the predefined optima, a 10*100 matrix;
if length( o(1,:) ) >= D
o = o(:,1:D);
else
o = lb + (ub - lb) * rand(func_num,D);
end
dim = size(o,2); % record the dimension
func.f1 = str2func('FEF8F2');
func.f2 = str2func('FEF8F2');
func.f3 = str2func('FWeierstrass');
Expand Down Expand Up @@ -318,20 +318,20 @@
%4. Composition Function 4, n=8
%==============================================================================
function fit = CF4(x)
global initial_flag
persistent func_num func o sigma lambda bias M
persistent func_num func o sigma lambda bias M initial_flag dim

[ps,D] = size(x);
func_num = 8;
lb = -5; ub = 5;
if initial_flag==0
if initial_flag==0 || D ~= dim % if run this function for the first time or run the same function with different dimensions of x
initial_flag=1;
load data/optima.mat % saved the predefined optima, a 10*100 matrix;
if length( o(1,:) ) >= D
o = o(:,1:D);
else
o = lb + (ub - lb) * rand(func_num,D);
end
dim = size(o,2); % record the dimension
func.f1 = str2func('FRastrigin');
func.f2 = str2func('FRastrigin');
func.f3 = str2func('FEF8F2');
Expand Down