This study aims to evaluate and analyze the covered papers according to several criteria such as (a) rates of studies according to publishing years, (b) the metaheuristic algorithms that are compared to PSO, (c) performance evaluation of compared algorithms, (d) the metaheuristic algorithms with...
providing stable convergence and good computational efficiency of different PID structures for the rotor/AMB systems.Moreover,the PSO algorithms prove to be easily used for controller tuning in case of both SISO and MIMO system,which consider the system delay and the interference among the horizontal...
In the results section, a comparison between LMS and PSO algorithms on the ability of fast convergence for different noise conditions and the computational complexity is presented. So as to see the effect of particle number on the optical channel estimation, different particle numbers of the PSO ...
"Reactive Power Optimization through Evolutionary techniques: A comparative study of the GA, DE and PSO algorithms. Intelligent Automation and Soft Computing", Vol. 13, No. 4, pp. 453-461, 2007.Bhattacharya, B, Goswami, SK (2007) Reactive power optimization through evolutionary techniques: a ...
To fully exploit the information of small objects within lower-level feature maps, several algorithms use four detection heads to enhance the small object detection network structures [16]. These methods solely add the detection head in the P2 layer without making any adjustments to the one in th...
A number of recent or novel metaheuristic algorithms have been explored in the subject of optimization; although now not all of these algorithms are as eff... D Sarkar,S Kudkelwar - 《European Transactions on Electrical Power Engineering》 被引量: 0发表: 2021年 An over current relay coordinat...
we've several decisions (like PSO, GA, E, HPSO and HGA) however we have a tendency to can‟t known that algorithmic is best for our drawback. HPSO is extended version of PSO and HGA is extend version of GA. Thus hybrid algorithms could also be best for come through most ...
The more popular algorithms of GA and PSO were placed in the middle ranks among all. The values of the objective function, the average CPU time, and the algorithms capability to meet the reser- voirs downstream demands were presented in Table 2, based on PC with i7 CPU 1.8 GHz/16...
There are few existing studies on efficient maximum iterations, especially a large-scale study on comparison for different problem types. By dividing three CEC benchmark sets into several problem types, this study made a large-scale performance comparison of 123 common swarm intelligence algorithms ...
The use of PSO in several domain demonstrates its adaptability and helpful. Notably, PSO has shown useful in the fields of robotics and wireless networks, where it has optimized resource allocation and network parameter setup56,57. In the context of power systems, PSO has played a crucial role...