On the implementation of a global optimization method for mixed-variable problems
type: Item
instance of: scholarly article
title: On the implementation of a global optimization method for mixed-variable problems
zbMATH Open document ID: 1497.90222
author: Giacomo Nannicini
published in: OJMO. Open Journal of Mathematical Optimization
publication date: 2022-08-20T00:00:00Z
full work available at URL: https://arxiv.org/abs/2009.02183
Mathematics Subject Classification ID: 90C56
zbMATH DE Number: 7573847
zbMATH Keywords: derivative-free optimization
zbMATH Keywords: black-box optimization
zbMATH Keywords: mixed-variable problems
describes a project that uses: Optuna
describes a project that uses: HyperNOMAD
describes a project that uses: Scikit
describes a project that uses: NOMAD
describes a project that uses: MISO
describes a project that uses: scikit-optimize
MaRDI profile type: Publication
OpenAlex ID: W3126619910
arXiv ID: 2009.02183
cites work: Pattern search algorithms for mixed variable programming
cites work: Mesh Adaptive Direct Search Algorithms for Constrained Optimization
cites work: Order-based error for managing ensembles of surrogates in mesh adaptive direct search
cites work: An algorithmic framework for convex mixed integer nonlinear programs
cites work: Trust Region Methods
cites work: Geometry of interpolation sets in derivative free optimization
cites work: Global Convergence of General Derivative-Free Trust-Region Algorithms to First- and Second-Order Critical Points
cites work: RBFOpt: an open-source library for black-box optimization with costly function evaluations
cites work: Q4060902
cites work: A radial basis function method for global optimization
cites work: HyperNOMAD
cites work: Algorithm 909
cites work: An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables
cites work: Benchmarking Derivative-Free Optimization Algorithms
cites work: MISO: mixed-integer surrogate optimization framework
cites work: SO-MI: a surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems
cites work: An optimality criterion for global quadratic optimization
cites work: Q4217266
cites work: Q5396710
cites work: An Initialization Strategy for High-Dimensional Surrogate-Based Expensive Black-Box Optimization
cites work: A stochastic radial basis function method for the global optimization of expensive functions
cites work: A wide class of test functions for global optimization
cites work: Q5405201
cites work: On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
cites work: Global convergence of radial basis function trust-region algorithms for derivative-free optimization
DOI: 10.5802/OJMO.3
Recommended article: Efficient global optimization of constrained mixed variable problems
Recommended article: Global optimization techniques for mixed complementarity problems
Recommended article: Global optimization issues in multiparametric continuous and mixed-integer optimization problems
Recommended article: Global optimization of mixed-integer nonlinear programs: a theoretical and computational study
Recommended article: On parameteric methods in global optimization
Recommended article: Q4204009
Recommended article: On the global solution of multi-parametric mixed integer linear programming problems
Recommended article: Global optimization: the Alienor mixed method with Piyavskii‐Shubert technique
Recommended article: Global optimization in integer or mixed variables and applications to industrial problems
Recommended article: Q3217533
description: scientific article