An improved GA and a novel PSO-GA-based hybrid algorithm

DOI10.1016/j.ipl.2004.11.003zbMath1173.68828OpenAlexW2029631366MaRDI QIDQ835046

N. E. Zubov

Publication date: 27 August 2009

Published in: Information Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ipl.2004.11.003

zbMATH Keywords

optimizationalgorithmsgenetic algorithmsparticle swarm optimizationhybrid evolutionary algorithms

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• Genetic algorithms. Concepts and designs
• Evolutionary computing
• A modification to particle swarm optimization algorithm
• Introduction to evolutionary computing
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• Unnamed Item

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