GECCO 2011: Genetics-Based Machine Learning Track Announcement and CFP

GBML call for papers for GECCO 2011

Genetic and Evolutionary Computation Conference (GECCO) is one of the most prestigious double-blind peer review conference in Evolutionary Computation. Based on its impact factor, GECCO is 11th in the rankings of 701 international conferences in artificial intelligence, machine learning, robotics, and human-computer interactions. During 2011, GECCO will take place in the beautiful city of Dublin, Ireland between the 12th and 16th of July.

Guinness Storehouse - The social event will take place at Ireland’s No. 1 international visitor attraction
Guinness Storehouse - The social event will take place at Ireland’s No. 1 international visitor attraction

GECCO 2011: Call for Papers on Genetics-Based Machine Learning (GBML)

Deadline: January 26, 2011

2011 Genetic and Evolutionary Computation Conference (GECCO-2011)

July 12-16, Dublin, Ireland


The Genetics-Based Machine Learning (GBML) track encompasses advancements and new developments in any system that addresses machine learning problems with evolutionary computation methods. Combinations of machine learning with evolutionary computation techniques are particularly welcome.

Machine Learning (ML) presents an array of paradigms — unsupervised, semi-supervised, supervised, and reinforcement learning — which frame a wide range of clustering, classification, regression, prediction and control tasks. The combination of the global search capabilities of Evolutionary Computation with the reinforcement abilities of ML underlies these problem solving tools.

The field of Learning Classifier Systems (LCS), introduced by John Holland in the 1970s, is one of the most active and best-developed forms of GBML and we welcome all work on LCSs. Artificial Immune Systems (AIS) are another family of techniques included in this track, which takes inspiration of different immunological mechanisms in vertebrates in order to solve computational problems. Moreover, neuroevolution technologies, which combine neural network techniques with evolutionary computation, are welcome. However, also any other related technique or approach will be considered gladly. See the list of suggested (but not limited to) topics at:

http://www.sigevo.org/gecco-2011/organizers-tracks.html#gbml

For more information on GECCO 2011 visit:

http://www.sigevo.org/gecco-2011/.

Sincerely,

Track Organizers

Dr. Will Browne, Victoria University of Wellington, NZ (will.browne@vuw.ac.nz)

Dr. Ester Bernadó-Mansilla, La Salle – Ramon Llull University, Barcelona,

Spain (esterb@salle.url.edu)

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GECCO is sponsored by the Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation (SIGEVO). SIG Services: 2 Penn Plaza, Suite 701, New York, NY, 10121, USA, 1-800-342-6626 (USA and Canada) or +212-626-0500 (Global).

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