A subset-selection-based derivative-free optimization algorithm for dynamic operation optimization in a steel-making process-Reference-Cited by-同舟云学术

A subset-selection-based derivative-free optimization algorithm for dynamic operation optimization in a steel-making process

Published:2022-10-13 Issue: Volume: Page:1-19
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Liu Yongxia¹,Xu Te¹,Tang Lixin²,Wu Jian³,Liu Chang⁴

Affiliation:

1. Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, P.R. China

2. National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, P.R. China

3. Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, P.R. China

4. Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Shenyang, P.R. China

Funder

National Natural Science Foundation of China

111 Project

LiaoNing Revitalization Talents Program

Postdoctoral Science Foundation of China

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2022.2129626

Reference28 articles.

1. Simulation optimization: a review of algorithms and applications

2. Audet, C., and W. Hare. 2020. “Model-Based Methods in Derivative-Free Nonsmooth Optimization.” In Numerical Nonsmooth Optimization, 655–691.

3. Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization

4. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

5. LIBSVM