Multiobjective analytical evolutionary algorithm for train stowage planning problem of steel industry-Reference-Cited by-同舟云学术

Multiobjective analytical evolutionary algorithm for train stowage planning problem of steel industry

Published:2023-09-07 Issue: Volume: Page:1-21
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Dong Yun¹²,Zhao Xiangling³⁴

Affiliation:

1. Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Shenyang, People’s Republic of China

2. National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, People’s Republic of China

3. Ministry of Education, Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Shenyang, People’s Republic of China

4. Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, People’s Republic of China

Funder

Major Program of National Natural Science Foundation of China

National Natural Science Foundation of China

National Key Research and Development Program of China

111 Project

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2254405

Reference38 articles.

1. Computational evaluation of a MIP model for multi-port stowage planning problems

2. LIBSVM

3. A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems

4. Differential Evolution: A Survey of the State-of-the-Art

5. A fast and elitist multiobjective genetic algorithm: NSGA-II