Description: Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is the recent development of a new evolutionary algorithm ((Evolu2tionary Algorithm- EA). PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting from a random solution, find the optimal solution by iteration, it is also used to evaluate the fitness solution through quality, but it is much simpler than the rules of the genetic algorithm, it is not genetic algorithm " cross" (Crossover) and " alternative" (Mutation) operations, which follow through to the optimal value of the current search to find the global optimum. This algorithm is known for its easy implementation, high accuracy, fast convergence, etc. attracted academic attention, and in solving practical problems to demonstrate its superiority.
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