The International Conference on Advanced Computational Intelligence (ICACI 2018)
Special Session on multiobjective optimization algorithms and its applications for financial and economic problems
Scope:
With the development of financial market, a lot of optimization problems have emerged in the financial and economic areas. Although the majority of the financial optimization problems can be dealed with EAs with a single-objective function, many researchers have indeed pointed that many problems in financial and economics involve multiple conflicting objectives.Furthermore, since the financial market is complex and active, these objectives may vary with time.It is widely recognized that the multiobjective optimization has been a challenging future research direction. Research on multiobjective optimization algorithms for financial and economics applications will enrich the theoretical study on MOEAs as well as broader the applications of multiobjective optimization. The aim of this special session is to reflect the most recent developments of multiobjective algorithms used for optimization in a variety of financial and economic problems.
Topics for this session include, but are not limited to:
Portfolio optimization
Stock ranking and trading strategy optimization
Financial time series analysis
Risk-return management
Economic modeling
Single - and multi-objective optimization algorithms
Learning guided multiobjective optimization algorithms
Theoretical analysis of multiobjective optimization algorithms
Organizers:
Dr. Feng Wang (Associate Professor)
School of Computer Science, Wuhan University, China
Email:
Dr. Feng Wang received the B. Eng. and Ph. D. degree in computer science in 2003 and 2008, respectively, both from Wuhan University, China. From 20107 to 2008, she served as a Research Assistant with the Department of Computer Science, City University of Hong Kong, Hong Kong. She was a Post-Doctoral Researchere with the College of Computing at Georgia Institute of Technology, U.S.A.She is an associate professor with the School of Computer Science, Wuhan University since 2012. Her research interests include evolutionary computation, evolvable hardware and complex system,machine learning and intelligent information retrieval. She serves as a reviewer for several IEEE transactions, other international journals and conferences. She is a member of IEEE and ACM.
Dr. Aimin Zhou (Professor)
Department of Computer Science and Technology, East China Normal University, China
Email:
Dr. Aimin Zhou received the B.Sc and M. Sc. Degrees from Wuhan University, Wuhan, China, in 2001 and 2003, respectively, and the Ph. D. degree from University of Essex, Colchester, U.K., in 2009, all in computer science. He is a Professor with the Shanghai Key Laboratory of Multidimensional Information Processing and the Department of Computer Science and Technology, East China Normal University, Shanghai, China. He has published over 40 peer-reviewed papers. His research interests include evolutionary computation and optimization, machine learning, image processing, and their applications.
Dr. Ke Tang (Professor)
Department of Computer Science and Engineering, Southern University of Science and Technology, China
Email:
Dr. Ke Tang received the B. Eng. Degree from Huazhong University of Science and Technology, Wuhan, China, in 2002 and the Ph. D. degree from Nanyang Technological University, Singapore, in 2007. Since 2007, he has been with the Schoolof Computer Science and Technology, Universityof Science and Technology of China, Hefei,China, where he is currently a Professor. He hasauthored/co-authored over 100 refereed publications.His research interests include evolutionary computation, machine learning, and their real-world applications.Dr. Tang was a recipient of the Royal Society Newton AdvancedFellowship. He is an Associate Editor of IEEE TRANSACTIONSONEVOLUTIONARYCOMPUTATION, IEEE Computational IntelligenceMagazine,andComputational Optimization and Applications(Springer), andserved as an Editorial Board Member for a few other journals. He is amember of the IEEE Computational Intelligence Society (CIS) EvolutionaryComputation Technical Committee and the IEEE CIS Emergent TechnologiesTechnical Committee.
Dr. Kangshun Li (Professor)
College of Mathematics and Informatics, South China Agricultural University, China
Email:
Dr. Kangshun Li is currently a vice chairman of IEEE Guangzhou Computational Intelligence Society (CIS), a senior member of IEEE and a full professor with South China Agricultural University (SCAU), Guangzhou, China. He also holds the dean position in School of Information at SCAU. He received his B.Sc. degree in computational mathematics from Nanchang University, Nanchang, China, and Ph.D. degree in computer software and theory from Wuhan University, Wuhan, China, in 1983 and 2006, respectively. From 1983 to 2002, he worked as a director in computer center of statistical department of Ganzhou District, Jiangxi Province, China. From 2003 to 2008, he joined the School of Information Engineering, Jiangxi University of Science and Technology. Since 2008, he has been a full professor and Ph.D. supervisor at SCAU. In 2009 and 2014, he visited University of Calgary and Chinese University of Hong Kong as a visiting professor, respectively. His current research interests are intelligent computation, image identification, data mining, soft engineering, embedded system, evolvable hardware, evolutionary modeling, parallel computation, and neural network. He has published over 113papers in peer-reviewed journals and conferences. He is leading or has completed over 20 projects as the PI, funded by the National Natural Science Foundation of China, the Natural Science Foundation of Guangdong Province and others. He is a senior member of IEEE and Chinese Computer Federation (CCF), editorial board member of Journal of System Simulation.