A cooperative particle swarm optimization with constriction factor based on simulated annealing

DOI10.1007/S00607-018-0625-6zbMath1398.68498OpenAlexW2803798729WikidataQ129814477 ScholiaQ129814477MaRDI QIDQ1616591

Ting Wang, Zhuang Wu, Shuo Zhang

Publication date: 6 November 2018

Published in: Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00607-018-0625-6

zbMATH Keywords

simulated annealing algorithmparticle swarm optimizationoptimum solution

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

• Subset selection in multiple linear regression models: a hybrid of genetic and simulated annealing algorithms
• Estimating the parameters of \(3\)-\(p\) Weibull distribution using particle swarm optimization: a comprehensive experimental comparison
• Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system
• A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis
• Integrating support vector regression with particle swarm optimization for numerical modeling for algal blooms of freshwater

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