Quantum-behaved particle swarm optimization with collaborative attractors for nonlinear numerical problems

DOI10.1016/J.CNSNS.2016.08.001OpenAlexW2514305972MaRDI QIDQ2005042

Ronghua Shang, Tianyu Liu, Wen-Ping Ma, Li-Cheng Jiao

Publication date: 7 October 2020

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2016.08.001

zbMATH Keywords

function optimizationquantum-behaved particle swarm optimizationlocal attractorcollaborative learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point
• Particle swarm optimization with age-group topology for multimodal functions and data clustering
• Tribal particle swarm optimization for neurofuzzy inference systems and its prediction applications
• Exploration and exploitation in evolutionary algorithms

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