A novel convergent filled function algorithm for multi-dimensional global optimization

DOI10.1080/02331934.2022.2069023zbMath1528.90200OpenAlexW4280552096MaRDI QIDQ6048269

Jun-Xiang Li, You-lin Shang, Dan Wu, Deqiang Qu, Unnamed Author

Publication date: 10 October 2023

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2022.2069023

zbMATH Keywords

global optimal solutionfilled functionmulti-dimensional optimization problemcoordinates rotate

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Optimization by Simulated Annealing
• An integral function and vector sequence method for unconstrained global optimization
• A filled function method for global optimization with inequality constraints
• Discrete global descent method for discrete global optimization and nonlinear integer programming
• A filled function method for finding a global minimizer of a function of several variables
• New filled functions for nonsmooth global optimization
• Finding global minimizer with one-parameter filled function on unconstrained global optimization
• A class of filled functions for finding global minimizers of a function of several variables
• A continuous approach to nonlinear integer programming
• Filled function method to optimize supply chain transportation costs
• A new global optimization technique by auxiliary function method in a directional search
• Finding discrete global minima with a filled function for integer programming
• The Tunneling Algorithm for the Global Minimization of Functions
• First-Order Methods in Optimization
• A new filled function for global minimization and system of nonlinear equations
• A new filled function method for unconstrained global optimization

This page was built for publication: A novel convergent filled function algorithm for multi-dimensional global optimization