This paper makes the focus on how to improve the convergence rate and the solution distribution. Thus the synthetic update mechanism is presented in detailed, ...
Abstract—The particle swam optimization algorithm is an effective optimization method for multi-object optimization problom. This paper makes the focus on ...
In this paper, a new version of the particle swarm optimization (PSO) algorithm suitable for discrete optimization problems is presented and applied for the ...
The simulation results show that the proposed AF-PSO algorithm has better performance compared with other improved PSO algorithms in synthesis. To further ...
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An improved particle swarm optimization (IPSO) is proposed in this paper. In the new algorithm, a population of points sampled randomly from the feasible ...
Abstract—In this paper an improved particle swarm optimization algorithm (IPSO) for electromagnetic applications is proposed. In.
Dec 26, 2022 · In this study, we propose an improved PSO algorithm variant that enhances convergence speed and population diversity by applying pseudo-random ...
May 13, 2022 · It is proposed to improve the study of particle optimization and its application in order to solve the problem of inefficiency and lack of local optimization ...
Missing: Synthetic | Show results with:Synthetic
Dec 29, 2017 · This paper introduces a new variant of the particle swarm optimization (PSO) algorithm, designed for global optimization of multidimensional functions.
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This paper proposes an improved particle swarm optimization to study the forward kinematic of a solar tracking device which has two rotational and one ...