simulation with full‐wave algorithm should be combined with numerical optimization for variable structure dimensions of the antenna .In this paper ,with MoM diven by PSO ,the conceptual design of an antenna with special form is optimized .After thousands of iterations ,the design with an optimum...
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 ...
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 energy and throughput by 83.89% and 29.00%, respectively, than the PSO algorithm....
PSO algorithm is a swarm-based search method that operates on a D-dimensional solution space. Each potential solution is represented by a particle that has a position and a velocity and can store the best position of itself and the swarm. At each iteration, the particles update their velocitie...
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 ...
Full size table The PSO is implemented to find the optimal total costs \(\widetilde{IC_{1}}\) and \(\widetilde{IC_{2}}\) incorporating the generalized neutrosophic cost parameters, the parameters of the PSO algorithm are \(w = 1\), \(\textrm{wdic} = 0.99\), \(c_{1} = 2\)...
ait will provide the solution in the mplementation process of specific algorithm. 它在特定算法的 mplementation 过程中将提供解决方案。[translate] a我很感谢我的母亲给了我一个如此美丽的名字 I thanked me the mother to give me very much a so beautiful name[translate] ...
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
We refer to the proposed algorithm as PSO with Enhanced Learning, Parameter updating, and Mutation operator (PSO-ELPM). The results of simulations on the CEC 2017 competition testbed show that it performs significantly better than existing PSO variants in terms of accuracy and Wilcoxon rank sum ...