Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system

DOI10.1016/J.AMC.2015.07.098zbMath1410.90279OpenAlexW1797386766MaRDI QIDQ668749

Keiji Tatsumi, Takeru Ibuki, Tetsuzo Tanino

Publication date: 19 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2015.07.098

zbMATH Keywords

global optimizationsnap-back repellermetaheuristicschaotic systemparticle swarm optimization

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (4)

A cooperative particle swarm optimization with constriction factor based on simulated annealing ⋮ A Weaker Sufficient Condition for the Chaoticity of Extended Perturbation-Based Updating System for Global Optimization ⋮ Optimizing high-dimensional functions with an efficient particle swarm optimization algorithm ⋮ A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization

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