Quantum particle swarm optimization algorithm with the truncated mean stabilization strategy

DOI10.1007/s11128-021-03380-xOpenAlexW4206671568MaRDI QIDQ2102250

Shu-Hua Xia, Yan Ma, Ye Zhang, Nan-Run Zhou

Publication date: 28 November 2022

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

Full work available at URL: https://doi.org/10.1007/s11128-021-03380-x

zbMATH Keywords

optimization problemparticle swarm optimizationbenchmark functionquantum-behaved algorithmtruncated mean stabilization strategy

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Approximation methods and heuristics in mathematical programming (90C59) Quantum computation (81P68)

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Uses Software

• ABC

Cites Work

• Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
• \( q\)-Gaussian swarm quantum particle intelligence on predicting global minimum of potential energy function
• Simulated annealing simulated
• A new QPSO based hybrid algorithm for constrained optimization problems via tournamenting process
• Locating multiple optima using particle swarm optimization
• A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
• QPSO-CD: quantum-behaved particle swarm optimization algorithm with Cauchy distribution
• Iterative Truncated Arithmetic Mean Filter and Its Properties
• A Median Nearest Neighbors LDA for Anomaly Network Detection

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