The performance of the hybrid algorithm is evaluated using the number of alive nodes, number of dead nodes, throughput and residual energy. The proposed hybrid HSA–PSO algorithm shows an improvement in residual
Aiming at the free-form curve contour tracking error problem of CNC machining, a cross-coupled controller based on Fuzzy PID using an improved PSO algorithm is proposed. First, the exact formulas of the linear and circular arc contour errors under a plane trajectory are...
Full size image On the basis of a large number of experiments, we found that the average change rate can only fluctuate within the 2% range if human applies force on the same position of RSSS II. The fact proved the feasibility and stability of the algorithm and the rationality of the ev...
Since the slotted patch resonator cannot be characterized by the closed-form transmission line theory, the particle swarm optimization (PSO) algorithm is constructed and integrated with a full-wave solver to determine the variable parameters of the proposed structure. Finally, a prototype dual-band ...
Full size image In order to apply the PSO algorithm, several error-related functions are used. The use of these functions is necessary to complete this algorithm to determine the parameter values of the proposed controller. So, to complete this work, we chose to use integral of the absolute ...
In view of the shortcomings of existing artificial neural network (ANN) and support vector regression (SVR) in the application of three-dimensional displacement back analysis, Gaussian process regression (GPR) algorithm is introduced to make up for the s
Thus, this paper proposes a parallel PSO algorithm for quantitative association rule min- ing, i.e. PPQAR, which can run on a distribute cluster and get a remarkable efficiency improvement than the serial version. Some previous works paid attention to parallelizing classic ARM algorithms like A...
The conjugate gradient method has the disadvantages that the optimization effect depends on the initial value, the number of iterations is difficult to determine, and local optimization, which makes the excellent performance of the algorithm can not be brought into full play [29,30]. The above ...
The S-DATE algorithm is the pseudo-code for the proposed approach. The proposed approach needs input data in numerical form, which will pass through the Min-Max scaler. Min-Max scalar will do normalization of data between {0,1} range by preserving the original distribution of the data but ...
Full size image In order to apply the PSO algorithm, several error-related functions are used. The use of these functions is necessary to complete this algorithm to determine the parameter values of the proposed controller. So, to complete this work, we chose to use integral of the absolute ...