ON THE ANALYSIS OF THE PERFORMANCES OF PARTICLE SWARM OPTIMIZATION ALGORITHM WITH GLOBALLY AND LOCALLY TUNED INERTIA WEIGHT VARIANTS

DOI10.1142/S0219876206000862zbMath1198.91182MaRDI QIDQ3055998

M. V. C. Rao, M. Senthil Arumugam

Publication date: 10 November 2010

Published in: International Journal of Computational Methods (Search for Journal in Brave)

zbMATH Keywords

hybrid systemsparticle swarm optimizationinertia weight

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Numerical optimization and variational techniques (65K10)

Cites Work

• The particle swarm optimization algorithm: Convergence analysis and parameter selection
• Modeling, analysis and optimal control of a class of hybrid systems
• Optimal control of a class of hybrid systems