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For the discretization of particles in particle swarm optimization (PSO), we have proposed the family PSO (FPSO) previously. To further study the internal structure of FPSO, this paper defined two kinds of relationships between particles: equal relationship (ER) and generational relationship (GR). FPSO of equal relationship (ER-FPSO) and FPSO of generational relationship (GR-FPSO) were proposed. Simulations...
Particle swarm optimization (PSO) is a good optimization algorithm, but it always premature convergence to local optimization, especially in some complex issues like optimization of high-dimensional function. In this paper, a particle swarm optimization based on chaotic neighborhood search (PSOCNS) is proposed. When the sign of premature convergence is arise, search each small area which is defined...
A modified particle swarm optimization (PSO) algorithm is proposed in this paper to avoid premature convergence with the introduction of mutation operation. The performance of this algorithm is compared to the standard PSO algorithm and experiments indicate that it has better performance with little overhead.
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