Improved pso algorithm
WitrynaCompared with them, PSO-based algorithm has the advantages of good memory, fast convergence, strong global search ability and high accuracy [34,35]; therefore, Wu et al. improved on the standard PSO algorithm to achieve the purpose of fast integer-pixel search. Compared with traditional algorithms, this algorithm has the same accuracy, … Witryna24 wrz 2013 · An Improved PSO Algorithm and Its Application to UWB Antenna Design Abstract: An improved particle swarm optimization (PSO) algorithm with a …
Improved pso algorithm
Did you know?
Witryna10 sie 2024 · Abstract: Particle swarm optimization (PSO) algorithm is a global optimization evolutionary algorithm which simulates the foraging behavior of birds. In … Witryna14 gru 2024 · In [ 17 ], Lenin proposed an algorithm named Enhanced Red Wolf Optimization which is a hybrid of wolf optimization (WO) and particle swarm optimization (PSO) algorithm to solve the ORPD problem. In [ 18 ], an improved social spider optimization (ISSO) has been used for determining the optimal solution to the power …
Witryna1 mar 2016 · The resulting algorithm is called improved accelerated particle swarm optimization (IAPSO). The remainder of this paper is organized as follows. Section 2, … Witryna30 mar 2024 · Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking. It is easy to fall into local optimum when used to optimize high-dimensional data, and there is …
Witryna10 gru 2024 · The genetic algorithm is the most complex in its operations. The computing time reaches 162.259 s. The optimization time of the PSO algorithm is 99.96 s. Compared with the GA, the PSO algorithm decreases the calculation time, but this is still much higher than the operation time of the ACO algorithm (4.002 s) with MATLAB. Witryna10 maj 2024 · In this paper, a radial basis function neural network (RBFNN) surrogate model optimized by an improved particle swarm optimization (PSO) algorithm is developed to reduce the computation cost of traditional antenna design methods which rely on high-fidelity electromagnetic (EM) simulations.
WitrynaCompared with them, PSO-based algorithm has the advantages of good memory, fast convergence, strong global search ability and high accuracy [34,35]; therefore, Wu et …
WitrynaThe ICL-PSO algorithm was used to solve the parameter identification problem of SCZ in continuous casting, and the HTCs predicted were more accurate than could be … canning sausage stuffed banana peppers recipeWitryna11 kwi 2024 · Path planning is a crucial component of autonomous mobile robot (AMR) systems. The slime mould algorithm (SMA), as one of the most popular path … cannings butcher hawthornWitryna24 lip 2024 · Although PSO performs well when dealing with unimodal functions, it is prone to fall into local optimum and diversity declines prematurely when dealing with … fixture finishes victorian bathtubWitryna12 kwi 2024 · The PSO algorithm has excellent global search and optimization abilities, and has been widely used in the parameter optimization of various machine learning models . The PSO algorithm forms a swarm of particles, where each particle represents a potential solution in the solution space of the optimization problem . A fitness … cannings butcher kewWitryna30 cze 2024 · The PSO algorithm itself is an optimization algorithm that is often used to solve optimization problems so that it is still often developed [12]. ... Comparison of Regression, Support Vector... fixture finishesfixture filing noticeWitryna12 kwi 2024 · The PSO algorithm has excellent global search and optimization abilities, and has been widely used in the parameter optimization of various machine learning … fixture flow