Direct Global Optimization Algorithm

By Donald R. Jones. Encyclopedia of Optimization, 2009

304 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/7637c5d347f2bf577f5cf1f07da3acbf634a5132

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Ali Emadi
2. Xiaofang Wang
3. Haitao Liu
4. Ying Ma
5. Sanjaka G. Wirasingha
6. Shengli Xu

In Computer Graphics and Computer-Aided Design

1. Ali Emadi
2. Marius Thomas Lindauer
3. Xiaofang Wang
4. Haitao Liu
5. Ying Ma
6. Sanjaka G. Wirasingha
7. Shengli Xu

In Computer Vision and Pattern Recognition

1. Anne-Laure Boulesteix
2. Marius Thomas Lindauer
3. Michel Lang
4. Ali Emadi
5. Bernd Bischl
6. Xiaofang Wang
7. Haitao Liu
8. Ying Ma

Citations in the corpus

• Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces (2015, methodology): “Modifications of the DIRECT algorithm were developed continuously in recent years to speed up the convergence [7,14–21], handle constraints [22, 23] and deal with high dimensional problems [18,24].”
• Classification and Review of Control Strategies for Plug-In Hybrid Electric Vehicles (2011, background): “[16], two-scale DP [17], gas-kinetic traffic flow model [18], and game theory [19].”
• Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges (2021, methodology): “Among the possible optimization methods are: iterated local search (as used by Hutter et al. (2009)), evolutionary algorithms (as in White et al. (2021)), ES using derivatives (as used by Sekhon and Mebane (1998) and Roustant et al. (2012)), and a focusing RS called DIRECT (Jones, 2009).”