A MATLAB toolkit of benchmark functions for numerical experiments of optimization.
Get function handles of the benchmark function using index.
[J, lmt, name] = bmkfcn(index,d)index- integerd- demension of benchmark functions
J- function handle, calculating the fitness of x (an d-by-n matrix)lmt- constraintsname- char, function name
>> i = 2;
>> d = 4;
>> [J,lmt,name] = bmkfcn(i,d)
J =
function_handle with value:
@(x) sum(abs(x)) prod(abs(x))
lmt =
-32 32
-32 32
-32 32
-32 32
name =
'Schwefel-2.22'
>> n = 10;
>> x = rand(d,n).*(lmt(:,2)-lmt(:,1)) lmt(:,1);
>> f = J(x)
f =
1.0e 05 *
0.7335 1.8390 0.2030 0.8281 2.2142 1.2539 0.0959 0.0046 0.3606 0.0060Updating soon...