Snasel, "Convergence analysis of swarm algorithm," in Proceedings of the 2009 World Congress on Nature & Biologically Inspired Computing. IEEE, 2009, pp. 1714-1719.Liu, H., Abraham, A., Sn´asel, V.: Convergence analysis of swarm algorithm. In: NaBIC, pp. 1714-1719 (2009)...
The random drift particle swarm optimization (RDPSO) algorithm is a PSO variant inspired by the free electron model in metal conductors placed in an external electric field. Based on the preliminary work on the RDPSO algorithm, this paper makes systematical analyses and empirical studies of the ...
3)convergence analysis收敛分析 1.We proved some properties of P-η proximal point mapping,and used the technique to discuss the convergence analysis of iterative algorithm for generalized nonlinear mix quasi-variational inclusions in Banach spaces.证明了其解的存在性并讨论了此算法的收敛分析。 4)superco...
14.Convergence of Padé Stochastic Approximation of Quasi-analytic Function;一类准解析函数的随机padé啨逼近的收敛性 15.By introducing the nonlinear variation weight and mutational operation into the standard particle swarm algorithm to ensuring the overall convergence and enhance the accuracy of convergence...
artificial fishswarmNelder–Mead searchThis article presents a shifted hyperbolic penalty function and proposes an augmented Lagrangian-based algorithm for non-convex constrained global optimization problems. Convergence to an -global minimizer is proved. At each iteration k, the algorithm requires the -...
a hybrid of genetic algorithm and particle swarm optimization for recurrent network design 热度: Analysis and Design of a Simple Digital Control Algorithm for a Phase-Shift Full-Bridge DC-DC Power Converter 热度: Development of a generalized mechanical efficiency prediction methodology for gear ...
Recently, Pluhacek et al. [131] performed a comprehensive bibliographic analysis focusing on the integration of chaos maps with metaheuristic algorithms. Then, they highlighted three well-established algorithms: Genetic Algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO)....
A Simplex Method Based Improved Particle Swarm Optimization and Analysis on Its Global Convergence一种基于单纯形法的改进微粒群优化算法及其收敛性分析Parallelparticle swarm optimization (PSOsimplex method (SMmulti-populationvelocity escape 并行微粒群优化...
5.A global convergence algorithm of particle swarm optimization and its convergence analysis一种全局收敛的PSO算法及其收敛分析 6.contracted channe收敛形管道, 收缩形流道 7.Are China s Regional Economies Converging?--A Study of Stochastic Convergence and β Convergence Based on Time Series;中国区域经济增...
Moreover, the convergence of the training was proved based on the differentiability of the error function. SpikeProp algorithm is based on gradient descent method for SNNs. But it is difficult for normal SNNs to prove the convergence. In this paper, a smoothing L1∕2 regularization term is ...