Adaptive bare-bones particle swarm optimization algorithm and its convergence analysis

DOI10.1007/S00500-013-1147-YzbMath1326.68271OpenAlexW2000681202MaRDI QIDQ894657

Xiaoyan Sun, Dun-wei Gong, Na Geng, Yong Zhang

Publication date: 2 December 2015

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-013-1147-y

zbMATH Keywords

convergence analysismutationadaptive disturbancebare-bones particle swarm optimization

Mathematics Subject Classification ID

Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (3)

A comprehensive survey on particle swarm optimization algorithm and its applications ⋮ Random drift particle swarm optimization algorithm: convergence analysis and parameter selection ⋮ Convergence analysis of flow direction algorithm in continuous search space and its improvement

Uses Software

• CEC 05

Cites Work

• MO-TRIBES, an adaptive multiobjective particle swarm optimization algorithm
• Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithm
• Large scale evolutionary optimization using cooperative coevolution
• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• Bare bones differential evolution
• Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients
• A Convergence Proof for the Particle Swarm Optimiser
• Particle Swarm Optimization

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