2012 IEEE Congress on Evolutionary Computation
Brisbane, Australia, 10-15 June, 2012
Special Session on
Evolutionary Algorithms with Statistical & Machine Learning Techniques
Organized by:
Dr. Aimin Zhou, Prof. Qingfu
Zhang, Prof. Jose A. Lozano, and Prof. Pedro Larranaga
An evolutionary optimization algorithm can be viewed as a learning process-it
learns properties of the problem in question and locates 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.
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.
o
John McCall (The Robert Gordon University, U.K.)
o
Siddhartha Shakya (BT Group Chief Technology Office,
U.K.)
o
Ying-Ping Chen (National Chiao Tung University,
Taiwan)
o
Chang Wook Ahn (Gwangju Institute of Science & Technology, Korea)
o
Yong Wang (Central South University, China)
o
Ke
Tang (University of Science and Technology of China, China)
o
Maoguo
Gong (Xidian University, China)
o
Concha Bielza (Technical University of Madrid,
Spain)
o
Ruben Armananzas (Technical University of Madrid,
Spain)
o
Roberto Santana (Technical University of Madrid, Spain)
o
Alex Mendiburu (University of the Basque Country,
Spain)
o
Alberto Ochoa (Institute of Cybernetics, Mathematics and Physics, Cuba)
o
Andreas Constantinides (Frederick University, Cyprus)
o
Paper submission: Dec. 19, 2011
o
Notification of paper acceptance: Feb. 20, 2012
o
Final paper submission: Apr. 2, 2012
o
Please visit the website of WCCI 2012(http://www.ieee-wcci2012.org)
for the instructions for authors.
o
Please select
Evolutionary Algorithms with Statistical & Machine Learning Techniques
as your first choice.
o
Special session papers will be treated in the same way as regular papers and
included in the conference proceedings.