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What is the matlab code for PSO?
Can you tell me what is the matlab code for PSO?
Sure, the matlab code for PSO is typically a function that takes in the objective function, number of variables, variable boundaries, and the number of particles as input parameters. Here's an example code for PSO:

function [bestsol, bestval, history] = PSO(fun, dim, lb, ub, nparticles)

% Initialize the particles and velocities
particles = rand(nparticles, dim) .* (ub - lb) + lb;
velocities = zeros(nparticles, dim);

% Evaluate the objective function for all particles
fitness = zeros(nparticles, 1);
for i = 1:nparticles
    fitness(i) = feval(fun, particles(i,:));
end

% Find the particle with the best fitness value
[bestval, bestidx] = min(fitness);
bestsol = particles(bestidx,:);

% Set some constants for PSO
w = 0.7298;
c1 = 1.4962;
c2 = 1.4962;

% Run the PSO algorithm
history = zeros(nparticles, dim);
for iter = 1:100
    for i = 1:nparticles
        % Update velocities
        velocities(i,:) = w*velocities(i,:) + c1*rand(1,dim).*(bestsol-particles(i,:)) + c2*rand(1,dim).*(particles(bestidx,:)-particles(i,:));
        
        % Update particle positions
        particles(i,:) = particles(i,:) + velocities(i,:);
        
        % Enforce boundaries
        particles(i,:) = max(particles(i,:), lb);
        particles(i,:) = min(particles(i,:), ub);
        
        % Evaluate fitness
        fitness(i) = feval(fun, particles(i,:));
    end
    
    % Find the new global best position
    [iterbestval, iterbestidx] = min(fitness);
    if iterbestval < bestval
        bestval = iterbestval;
        bestsol = particles(iterbestidx,:);
    end
    
    % Record history
    history(iter,:) = bestsol;
end

end