Special Session on
Evolutionary Algorithms with Statistical & Machine Learning Techniques
2010 IEEE World Congress on Computational Intelligence, 18-23/July, 2010, Barcelona.
Organisers:
Motivation:
An evolutionary optimization algorithm can be viewed as a learning process-it learns properties of the problem in question and locate the optimal solution. Therefore, it is very natural to introduce statistical & machine learning techniques (SML) into evolutionary algorithms (EA). Much effort has been made along this line. Examples of EAs with SML include: estimation of distribution algorithms, ant colony optimization, cross entropy methods, evolutionary algorithms based on statistical surrogate models, to name a few. Combination of EAs and SML has been proven to be an efficient strategy for dealing with hard optimization problems. This special session aims at bringing researchers who are interested in this area together to review the current state-of-art, exchange the latest ideas and explore future directions.
Scope:
The major topics of interest include, but are not limited to:
o Theoretical work of EAs with SML,
o Experimental studies of EAs with SML,
o EAs with SML for multiobjective optimization problems,
o EAs with SML in dynamic environments,
o EAs with SML for expensive black-box optimization,
o Real-world/novel applications.
Program Committee:
o Dr. Chang Wook Ahn, Sungkyunkwan University, Koera
o Prof. Enrique Alba, University of Málaga, Spain
o Prof. Ying-ping Chen, National Chiao Tung University, Twaiwan
o Dr. Weishan Dong, IBM China Research Lab, China
o Dr. Fernando Lobo,
o Prof. John McCall, Robert Gordon University, UK
o Prof. Heinz Muhlenbein, Germany
o Dr. Jose Maria Pena, Universidad Politécnica de Madrid, Spain
o Dr. Roberto Santana, Spain
o Dr. Ke Tang, University of Science and Technology of China, China
o Dr. Jianyong Sun, University of Nottingham, UK
o Dr. Yong Wang, Central South University, China
o Dr. Bo Yuan, Tsinghua University, China
o Prof. Sanyou Zeng, China University of Geosciences, China
o Prof. Xiufen Zou, Wuhan University, China
Important dates:
o Paper submission: January 31, 2010
o Notification of paper acceptance: March 15, 2010
o Final paper submission: May 2, 2010
Submission:
Please visit the website of WCCI 2010 for the instructions for authors.
Please select Evolutionary Algorithms with Statistical & Machine Learning Techniques as your first choice.
Special session papers will be treated in the same way as regular papers and included in the conference proceedings.