Similar to the one of simulated annealing algorithm and particle swarm optimization (PSO) belongs to the evolutionary algorithm, it is also a departure random solutions, through iterative find the optimal solution, it is also uated by the fitness of the quality of the solution, but it is more than Genetic Algorithm Rules more simple, it does not have the genetic algorithm cross (crossover) and variation (mutation) operation, follow it through to the current search to find the optimal value of the global optimum. This algorithm is its easy implementation, high precision, rapid convergence, etc. attracted academic attention, and demonstrated its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm. This procedure applies to implement MATLAB Particle Swarm Optimization.

POS\objfun.m
...\pso_Test.m
POS

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