A continuously differentiable filled function method for global optimization

DOI10.1007/s11075-013-9746-3zbMath1296.65089OpenAlexW2090973855MaRDI QIDQ398594

Yuelin Gao, Yuping Wang, Hong-Wei Lin

Publication date: 15 August 2014

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-013-9746-3

zbMATH Keywords

global optimizationfilled function methodnumerical experimentlocal minimizerglobal minimizer

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26)

Related Items (13)

A new parameter free filled function for solving unconstrained global optimization problems ⋮ A new filled function for global minimization and system of nonlinear equations ⋮ A Class of Parameter-Free Filled Functions for Unconstrained Global Optimization ⋮ Non parameter-filled function for global optimization ⋮ Finding global minima with an inflection point-based filled function algorithm ⋮ A novel one-parameter filled function method with an application to pathological analysis ⋮ A limited-memory BFGS-based differential evolution algorithm for optimal control of nonlinear systems with mixed control variables and probability constraints ⋮ Robust optimization for nonlinear time-delay dynamical system of \textit{dha regulon} with cost sensitivity constraint in batch culture ⋮ A new filled function method for unconstrained global optimization ⋮ A filled function method for minimizing control variation in constrained discrete-time optimal control problems ⋮ A filled function method for global optimization with inequality constraints ⋮ A criterion for an approximation global optimal solution based on the filled functions ⋮ A filled function which has the same local minimizer of the objective function

Cites Work

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• A filled function method for global optimization
• A new filled function for unconstrained global optimization
• A new filled function method for global optimization

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