Computing and Optimization Theory

 

Intro.: Advanced optimization and automatic decision have become the trade in various industrial application areas, such as transportation, logistics, supply chain, telecommunication, airline, etc. In these areas, there exist large scale complex optimization, learning and decision problems which are usually proven to be NP-hard and very challenging and hard to solve. We study the resolution of large-scale combinatorial search problems and on the design of effective optimization, learning and decision methods for practical applications. Our main research areas include: Resolution of NP hard problems, modeling of complex systems, applications of artificial intelligence, data mining, machine learning and so on. Furthermore, our research has been applied in various industrial projects. These projects have led to create considerable values in terms of both economy and society for our industrial partners. 

Contact: Prof. Zhipeng Lü, zhipeng.lv@hust.edu.cn

Members:

Chen Ji Xiong He Kun Huang Zhi Jin Yan LV Zhi Peng
Shi Ke Xiong Zheng Da Xu Hai Yin Xu Li Ping Xu Gui Ping
Zhang Ai Hua Li Chu Ming John Edward Hopcroft    

 

Research area:

1.  Large-scale combinatorial optimization

2.  Applied optimization

3.  Complex systems modeling

4.  Machine learning

5.  Automatic decision

6.  NP-hard problem solving