Our method is based on a novel integration of miscellaneous techniques from matrix paracontraction in numerical analysis and semistability in control theory.
Global convergence analysis of swarm optimization using paracontraction and semistability theory ... using standard results from the dynamic system theory ...
A novel variation of Particle Swarm Optimization (PSO) algorithm is implemented in a parallel computing way for practical use by introducing MATLAB built-in ...
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Global convergence analysis of swarm optimization using paracontraction and semistability theory. Qing Hui, Haopeng Zhang. 2016 American Control Conference ...
May 13, 2024 · Global convergence analysis of swarm optimization using paracontraction and semistability theory. ACC 2016: 2900-2905; 2015. [j2]. view.
In this paper, the convergence issue of the Particle Swarm Optimization (PSO) algorithm is investigated. Most of the models of PSO algorithms are time-invariant ...
Zhang, “Global Convergence Analysis of Swarm Optimization Using Paracontraction and Semistability Theory,” 2016 American Control Conference, Boston, MA ...
Dec 7, 2013 · Recently we have proposed a new class of swarm optimization algorithms called the Multiagent Coordination. Optimization (MCO) [1]–[3] ...
Dec 30, 2018 · The contribution of this paper is twofold: the convergence of the BA is analysed using a Markovian framework in terms of finite-state, discrete- ...
Chen et al. Global convergence analysis of the bat algorithm using a Markovian framework and dynamical system theory. Expert Syst. Appl. (2018). M. Jiang et ...