A new filled function method with two parameters for global optimization

DOI10.1007/s10957-013-0515-1zbMath1305.65155OpenAlexW1964400069MaRDI QIDQ481773

Yuping Wang, Fei Wei, Hong-Wei Lin

Publication date: 15 December 2014

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-013-0515-1

zbMATH Keywords

global optimizationnumerical exampleslocal search algorithmuniform designfilled function

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 ⋮ MEEF: A minimum-elimination-escape function method for multimodal optimization problems ⋮ A Class of Parameter-Free Filled Functions for Unconstrained Global Optimization ⋮ Non parameter-filled function for global optimization ⋮ A new global optimization technique by auxiliary function method in a directional search ⋮ Finding global minima with an inflection point-based filled function algorithm ⋮ A novel one-parameter filled function method with an application to pathological analysis ⋮ Robust optimization for nonlinear time-delay dynamical system of \textit{dha regulon} with cost sensitivity constraint in batch culture ⋮ A new filled function method applied to unconstrained global optimization ⋮ A new filled function method for unconstrained global optimization ⋮ A criterion for an approximation global optimal solution based on the filled functions ⋮ On a new smoothing technique for non-smooth, non-convex optimization

Uses Software

• Global Optimization Test

Cites Work

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• A deterministic annealing algorithm for approximating a solution of the min-bisection problem
• A new class of filled functions with one parameter for global optimization
• A parameter free filled function for unconstrained global optimization
• A filled function method for finding a global minimizer of a function of several variables
• New filled functions for nonsmooth global optimization
• A class of filled functions for finding global minimizers of a function of several variables
• Tabu search applied to global optimization
• New classes of globally convexized filled functions for global optimization
• Tabu search directed by direct search methods for nonlinear global optimization
• A tabu-search-based algorithm for continuous multiminima problems
• Widely Convergent Method for Finding Multiple Solutions of Simultaneous Nonlinear Equations
• The Tunneling Algorithm for the Global Minimization of Functions
• Iterative Methods for the Localization of the Global Maximum
• A Family of Variable-Metric Methods Derived by Variational Means
• A new approach to variable metric algorithms
• The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
• Conditioning of Quasi-Newton Methods for Function Minimization
• Finding global minima with a computable filled function.

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