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This is a simple example of how you can perform Particle Swarm Optimization (PSO) in Matlab. In this example, we define an objective function (in this case x^2), set the number of variables to 1, define the boundaries for the variable, set the options for the optimization algorithm, and then call the particleswarm
function to find the optimal solution. Finally, we display the optimal solution and the optimal function value.
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