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Study on certain problems optimization based on particle swarm optimization

Wang Dong-ju

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Abstract

Particle swarm optimization (PSO) is an effective algorithm in optimization fields, which is easily programmed with simple principle. It is proposed to optimize the problems under certain environments based on particle swarm algorithms. Numerical simulations show PSO has the character of remarkable higher speed of convergence and satisfying precision.

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Particle swarm optimization (PSO) is an effective algorithm in optimization fields, which is easily programmed with simple principle. It is proposed to optimize the problems under certain environments based on particle swarm algorithms. Numerical simulations show PSO has the character of remarkable higher speed of convergence and satisfying precision.

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Available abstract

Particle swarm optimization (PSO) is an effective algorithm in optimization fields, which is easily programmed with simple principle. It is proposed to optimize the problems under certain environments based on particle swarm algorithms. Numerical simulations show PSO has the character of remarkable higher speed of convergence and satisfying precision.

Key concepts: Multi-swarm optimization, Particle swarm optimization, Computer science, Convergence (economics), Metaheuristic, Mathematical optimization, Derivative-free optimization, Meta-optimization

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