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, firstname.lastname@example.org
|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|