particle swarm optimization MATLAB coding for the following function

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Bijaya Das
Bijaya Das am 21 Jun. 2023
Kommentiert: Bijaya Das am 26 Jul. 2023
Here the data I have taken n = 500 and m = 24 and Pmax = 6.6
Total number of variables I have taken for PSO, nVar = n*m
the lower bound Ihave taken for PSO LB = 0.1*(1,nVar)
and the upper bound I have taken for PSO UB = Pmax.*(1,nVar)
Assuming deltaT =1 , n =3, m =2 the above function I have expanded as below
F1 = c1*p11+c1*p21+c1*p31+c2*p12+c2*p22+c2*p32
and the objective function I have written as F1 = sum(x). But I have doubt on objective function I have written.
Here if I have considered the the product of c1*p11 as one variable like x1 and c1*p21 as another variable and so on
If I will considered ck and pik as to different variables then how I can write the Lower bound of variables and upper bound of variables.

Antworten (1)

Sandeep
Sandeep am 24 Jul. 2023
Hi Bijaya Das,
It is my understanding that you are expecting a suggestion on how to write the Lower bound of variables and Upper bound of variables for the given objective function and assumed values of delta, n and m.
Here is a sample MATLAB implementation of the same that might help.
% Assuming n = 3, m = 2
n = 3;
m = 2;
% Initialize the lower bounds and upper bounds arrays
LB = zeros(n*m, 1); % Lower bounds array
UB = zeros(n*m, 1); % Upper bounds array
% Assign lower and upper bounds for each variable
for i = 1:n
for j = 1:m
var_index = (i-1)*m + j; % Index of the variable
LB(var_index) = 0.1; % Lower bound for the variable
UB(var_index) = Pmax; % Upper bound for the variable
end
end
Hope you find it useful.

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