Globally concavized filled function method for the box constrained continuous global minimization problem

DOI10.1080/10556780600628188zbMath1113.90126OpenAlexW2085670346MaRDI QIDQ5481690

Wen-Xing Zhu

Publication date: 10 August 2006

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556780600628188

zbMATH Keywords

asymptotic convergencebox constrained continuous global minimization problemglobally concavized filled function

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26)

Related Items (6)

Discrete global optimization problems with a modified discrete filled function ⋮ A filled function method for constrained global optimization ⋮ A new auxiliary function method for general constrained global optimization ⋮ A new auxiliary function method for systems of nonlinear equations ⋮ Dynamic globally concavized filled function method for continuous global optimization ⋮ A novel filled function method for nonlinear equations

Cites Work

• A filled function method for finding a global minimizer of a function of several variables
• A class of filled functions for finding global minimizers of a function of several variables
• A new filled function applied to global optimization.
• Recent developments and trends in global optimization
• Revised filled function methods for global optimization.
• A computable filled function used for global minimization
• Several filled functions with mitigators.
• A class of filled functions for box constrained continuous global optimization
• Bayesian stopping rules for multistart global optimization methods
• A new filled function method for global optimization
• Finding global minima with a computable filled function.
• A class of generalized filled functions with improved computability

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