Dynamic allocation of surplus by-product gas in a steel plant by dynamic programming with a reduced state space algorithm-Reference-Cited by-同舟云学术

Dynamic allocation of surplus by-product gas in a steel plant by dynamic programming with a reduced state space algorithm

Published:2017-12-12 Issue:9 Volume:50 Page:1578-1592
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Sun Wenqiang¹²^ORCID,Wang Yanhui¹,Zhang Fengyuan³,Zhao Yueqiang⁴

Affiliation:

1. Department of Thermal Engineering, School of Metallurgy, Northeastern University, Shenyang, Liaoning, People’s Republic of China

2. State Environmental Protection Key Laboratory of Eco-Industry, Northeastern University, Shenyang, People’s Republic of China

3. Institute of Thermal Energy Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China

4. Shandong Lucion Investment Holdings Group Co. Ltd, Jinan, Shandong, People’s Republic of China

Funder

National Natural Science Foundation of China

China State Scholarship Fund

Fundamental Research Funds for the China Central Universities

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.2017.1402013

Reference31 articles.

1. An optimal gas supply for a power plant using a mixed integer programming model

2. Approximate dynamic programming via direct search in the space of value function approximations

3. Hybrid integer coded differential evolution – dynamic programming approach for economic load dispatch with multiple fuel options

4. Shape-preserving dynamic programming

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