Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point

• Published in: Applied mathematics and computation Vol. 218; no. 7; pp. 3763 - 3775
• Main Authors: Sun, Jun, Fang, Wei, Palade, Vasile, Wu, Xiaojun, Xu, Wenbo
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2011
• Subjects: Algorithms; Benchmarking; Convergence; Gaussian; Gaussian probability distribution; Mathematical analysis; Mathematical models; Optimization; Particle swarm optimization; Quantum behavior; Standard deviation; Swarm intelligence; Swarm intelligence; Quantum behavior; Particle swarm optimization; Gaussian probability distribution

This paper proposes a novel variant of quantum-behaved particle swarm optimization (QPSO) algorithm with the local attractor point subject to a Gaussian probability distribution (GAQPSO). The local attractor point in QPSO plays an important in that determining the convergence behavior of an individu...