To improve particle swarm optimization (PSO) computing performance, the centroid of particle swarm is firstly introduced in standard PSO model to enhance interparticle cooperation and information sharing capabilities, then combining randomness and ergodicity of the strong chaotic motion and fast convergence of the simplex method, a novel particle swarm optimization algorithm with adaptive space...

Particle swarm optimization (PSO) is a popular and robust strategy for optimization problems. One main difficulty in applying PSO to real-world applications is that PSO usually need a large number of fitness evaluations before a satisfying result can be obtained. This paper introduces a new ”fast particle swarm optimization” (FPSO) that does not evaluate all new positions owning a fitness and a...

In this paper, we intend to study the synthesis of the multibeam arrays. The synthesis implementation’s method for this type of arrays permits to approach the appropriated radiance’s diagram. An adaptive particle swarm optimization algorithm (APSO) is proposed to synthesis multibeam antenna arrays. The problem is formulated and solved by means of the proposed algorithm. The examples are simulat...

Because of increasingly common damage and thefts of the transmission towers, a new function is proposed to enhance the state maintenance of transmission lines. It relies on the monitoring of the high-voltage transmission towers to ensure the reliability and safety of the power grid operation. An approach which combines Independent Component Analysis (ICA) with neural network based on Particle S...

To overcome the shortcomings of the traditional methods of water quality evaluation, in this paper, a novel model combines particle swarm optimization (PSO), chaos theory, self-adaptive strategy and back propagation artificial neural network (BP ANN) that was proposed to evaluate the water quality of Weihe River in China. An improved PSO algorithm with a self-adaptive inertia weight and a chaot...

The following paper describes and discusses the suitability of the particle swarm optimization (PSO), of the simulated annealing algorithm (SA) and of the genetic algorithm (GA) for the employment with blind adaptation of the directional characteristic of array antennas. By means of extensive simulations, it was confirmed that the suggested PSO and SA and the improved GA are able to follow dyna...

Owing to the importance of non-differentiable point in a function for economy, engineering and theoretical analysis, this paper brings forward a novel methodology to figure out the non-differentiable point of function which is based on adjusting the models for global extremum and local extremum of particle swarm optimazation (PSO). The algorithm takes the difference between left and right diffe...

in this paper, we have proposed a new algorithm which combines pso and ga in such a way that the new algorithm is more effective and efficient.the particle swarm optimization (pso) algorithm has shown rapid convergence during the initial stages of a global search but around global optimum, the search process will become very slow. on the other hand, genetic algorithm is very sensitive to the in...

Techset Com An adaptive frequency-domain equaliser for the single carrier frequency division multiple access (SC-FDMA) system using the particle swarm optimisation (PSO) technique is proposed. Unlike the stochastic gradient and recursive least squares algorithms, the PSO is known to have fast convergence which does not depend on the underlying structure. The cost function used in a PSO is formu...