GA/PD: a genetic algorithm based on problem decomposition for solving interval linear bilevel programming problems-Reference-Cited by-同舟云学术

GA/PD: a genetic algorithm based on problem decomposition for solving interval linear bilevel programming problems

Published:2022-05-23 Issue:4 Volume:55 Page:564-579
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Li Hecheng¹²,Li Hong³

Affiliation:

1. School of Mathematics and Statistics, Qinghai Normal University, Xining, P.R. China

2. Academy of Plateau Science and Sustainability, Xining, P.R. China

3. School of Mathematics and Statistics, Xidian University, Xi'an, P.R. China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Qinghai Province

Key Laboratory of the Internet of Things of Qinghai Province

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.2021.2014829

Reference24 articles.

1. A semivectorial bilevel programming approach to optimize electricity dynamic time-of-use retail pricing

2. Practical Bilevel Optimization

3. Linear bilevel programming with interval coefficients

4. Bilevel programming: A survey

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Sustainable Architecture: Machine Learning for Predicting Energy Use in Buildings;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

2. A Novel Approach to Solve Multi-objective Fuzzy Stochastic Bilevel Programming Using Genetic Algorithm;Operations Research Forum;2024-02-02

3. Integrated optimization for passenger comfort-oriented train timetabling and passenger control strategy on an oversaturated metro line;Engineering Optimization;2023-12-19