Convergence analysis and performance of the extended artificial physics optimization algorithm

DOI10.1016/J.AMC.2011.02.062zbMath1267.65072OpenAlexW1994161030MaRDI QIDQ426928

Jianchao Zeng, Liping Xie, Richard A. Formato

Publication date: 13 June 2012

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2011.02.062

zbMATH Keywords

global optimizationconvergencenumerical experimentsmultidimensional searchgravitational forceextended artificial physics optimizationNewton's lawphysicomimeticsstochastic, evolutionary algorithmvirtual force

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Stochastic programming (90C15)

Related Items (2)

Adaptive Artificial Physics Optimization Using Proportional Derivative Controllers ⋮ Convergence analysis and performance of an extended central force optimization algorithm

Cites Work

• Optimization by Simulated Annealing
• An electromagnetism-like mechanism for global optimization
• Feasibility and Dominance Rules in the Electromagnetism-Like Algorithm for Constrained Global Optimization
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