iciicii2020

The Fourth International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration

Shantou, China

December 18-19, 2020

Invited Speech

Local landscape

Co-sponsors

Xinye Cai, PhD，Associate Professor

Department of Computer Science and Technology,

Nanjing University of Aeronautics and Astronautics (NUAA), China

Title: 面向航空领域的智能优化方法与应用

Biography

Xinye Cai(M’14) received the BSc in information engineering from Huazhong University of Science and Technology, China in 2004, the MSc in electronic engineering from University of York, UK, in 2006 and the PhD in electrical engineering from Kansas State University, U.S, in 2009, respectively. He is an Associate Professor at the Department of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics (NUAA), China. His current research interests include evolutionary computation, optimization, data mining, machine learning and their applications.

Dr Cai has published more than 50 papers in top journals and prestigious conference as the first author/corresponding author, including IEEE Transaction on Evolutionary Computation, IEEE Transaction on Cybernetics, Evolutionary Computation, Information Sciences, Applied Soft Computing and so on. He has won the Evolutionary Many-Objective Optimization Competition at the Congress of Evolutionary Computation 2017. He was a recipient of the Young Scientist Talent Lift Project of Jiangsu Province in 2017. Dr. Cai is an Associate Editor of Swarm and Evolutionary Computation.

The bird's-eye view of Shantou University
Nan’ao Island
Nan'ao Bridge
Zhongshan Pavilion
Shantou Coastal Corridor
Lotus Pond
Gentleman Sculpture Group

Zhenyuan Liu, PhD，Associate Professor

Department of Systems Science and Engineering, School of Automation,

Huazhong University of Science and Technology

Title: A Simulation-based Method for Designing Parameters of Material

Price Adjustment Model in Large-scale Hydropower Development

in China

Abstract

In the construction of large-scale hydropower projects in China, enormous amounts of materials are consumed. Influenced by various factors, materials price fluctuates during the construction. To protect the benefits of both parties, reasonable material price adjustment methods need to be set in the procurement bidding documents. A price adjustment model is established considering price fluctuation stratifying and risk sharing. Aimed at the determination of parameters in the model, a simulation-based method is proposed in this paper, and the simulation process is optimized with the optimal computing budget allocation algorithm. Based on the actual data of a hydropower project in Sichuan province and the judgment of engineers, corresponding simulation case sets are generated and the calculation results are analyzed with TOPSIS. The experimental results show that the simulation-based method provides scientific and reasonable support for designing parameters of material price adjustment model, and the optimal computing budget allocation algorithm plays an optimizing role.

Biography

Zhenyuan Liu is an associate professor of the Department of Systems Science and Engineering, School of Automation. He is Party branch secretary of the Department of Systems Science and Engineering and a member of undergraduate teaching steering committee in School of Automation. He is one of the founder of undergraduate professional Logistics Management (Logistics System Engineering Direction) and the director of Systems Engineering Institute of Hubei Province, etc.

Professor Liu has long been engaged in the theory and practice of systems engineering and system information technology, especially in the logistics services, medical and health services, nursing services, information services, large-scale infrastructure construction supply chain management and emergency system. In recent years, his work was funded by the National Natural Science Foundation of China, Hubei Province Natural Science Fund, the Ministry of education returned scientific research foundation, the open fund of Image Information and Intelligent Control of the Ministry of education Key Laboratory and Huazhong University of science and technology independent innovation fund. Authorized by relevant government departments and companies, he completed the feasibility study and overall planning of an aged public information platform and overall planning of Wuhan Xingang logistics information platform.

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