Witryna24 wrz 2013 · An Improved PSO Algorithm and Its Application to UWB Antenna Design Abstract: An improved particle swarm optimization (PSO) algorithm with a … Witryna1 sie 2011 · The PSO algorithm was introduced by Kennedy and Eberhart in 1995 [1] and GAs were initially suggested by Fraser in [2], Fraser and Burnell in [3], Crosby in …
An Improved PSO Algorithm and Its Application to UWB Antenna …
Witryna13 lis 2024 · Recently, orthogonal learning particle swarm optimization (OLPSO) is proposed to solve optimal problems by introducing the orthogonal learning mechanism in PSO [42]. They further improves the performance of PSO, including the better results, the smaller scale of swarm, and the fewer iterations. 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. sick sinus syndrome symptoms healthline
An Improved Particle Swarm Optimization Algorithm …
Witryna11 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-planning approaches, shows excellent performance in the AMR field. Despite its advantages, there is still room for SMA to improve due to the lack of a mechanism for jumping out of … Witryna1 lip 2011 · An improved particle swarm optimization (IPSO) is presented which well addresses slow convergence rate and low calculation precision in the standard PSO. … WitrynaImproved Learning Strategy The standard PSO algorithm is used to solve the single-objective optimization problem, therefore, it is difficult to select the value of velocity and update the formula for MOPs. The reason for this issue is that MOPs do not contain the global optimal solution. sick sinus syndrome status post pacemaker