A quantum computing-based numerical method of mixed-integer optimal control problems under uncertainty for alkali–surfactant–polymer flooding-Reference-Cited by-同舟云学术

A quantum computing-based numerical method of mixed-integer optimal control problems under uncertainty for alkali–surfactant–polymer flooding

Published:2020-04-02 Issue:3 Volume:53 Page:531-550
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Liu Zhe¹^ORCID,Li Shurong¹,Ge Yulei²^ORCID

Affiliation:

1. Automation School, Beijing University of Posts and Telecommunications, Beijing, People’s Republic of China

2. College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, People’s Republic of China

Funder

Beijing University of Posts and Telecommunications

National Natural Science Foundation of China

Natural Science Foundation of Shandong 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.2020.1741568

Reference23 articles.

1. Vehicle Routing Problem with Time Windows, Part I: Route Construction and Local Search Algorithms

2. A real coded genetic algorithm for solving integer and mixed integer optimization problems

3. Study on organic alkali-surfactant-polymer flooding for enhanced ordinary heavy oil recovery

4. An approximate dynamic programming method for the optimal control of Alkai-Surfactant-Polymer flooding

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