Here is an example implementation of the Particle Swarm Optimization (PSO) algorithm in MATLAB:
main.m1188 chars48 lines
In this example, the PSO algorithm is used to minimize the sum of squares objective function. The algorithm is implemented using the standard PSO equations for updating particle velocity and position, with parameters for inertia weight (w), cognitive coefficient (c1), and social coefficient (c2) set to reasonable values based on prior research. The algorithm runs for a specified number of iterations, with the best solution and objective value printed at the end of the run.
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