Genetic and Evolutionary Computation Conference (GECCO-2012) is the largest conference in the field of genetic and evolutionary computation. GECCO-2012 is the recombination of the 21th International Conference on Genetic Algorithms (ICGA) and the 17th Annual Genetic Programming Conference (GP). GECCO-2012 is organized by the ACM Special Interest Group on Genetic and Evolutionary Computation (SIGEVO) and it will take place in Philadelphia, Pennsylvania, USA on July 7-11, 2012.
About EDA track
Estimation of distribution algorithms (EDAs) are based on the explicit use of probability distributions. They replace traditional variation operators of evolutionary algorithms, such as mutation and crossover, by building a probabilistic model of promising solutions and sampling the built model to generate new candidate solutions. Using probabilistic models for exploration in evolutionary algorithms enables the use of advanced methods of machine learning and statistics for automated identification and exploitation of problem regularities for broad classes of problems. In addition they provide natural ways to introduce problem information into the search by means of the probabilistic model and also to get information about the problem that is being optimized. EDAs provide a robust and scalable solution to many important classes of optimization problems with only little problem specific knowledge.
The aim of the track is to attract the latest high quality research on EDAs in particular, and the use of explicit probabilistic and graphical models in evolutionary algorithms in general. We encourage the submission of original and previously unpublished work especially in the following areas:
- Advances in the theoretical foundations of EDAs.
- Novel applications for EDAs.
- Case studies or showcases that highlight the use of EDA in practical decision making.
- Interfaces between EDA, Ant Colony Optimization, Evolution Strategies, Cross-Entropy Method and other related methods.
- Position papers on EDA-related topics.
- Reviews of specific EDA-related aspects.
- Comparisons of EDA and other metaheuristics, evolutionary algorithms, more traditional optimization methods of operations research or hybrids thereof.
- EDA for dynamic, multiobjective or noisy problems and interactive EDA.
- Hybrid EDAs.
- New EDAs.
The above list of topics is not exhaustive. If you think that your work does not fit the above categories but the work should belong to the EDA track, please contact the track organizers to discuss this issue.
Papers for the EDA track should be submitted using the standard GECCO-2012 submission system. For more information, please visit the official GECCO-2012 Web Site.
|January 13, 2012||Paper submission deadline|
|March 13, 2012||Notification of paper acceptance|
|April 9, 2012||Camera-ready submission of accepted papers/posters|
|July 7-11, 2012||GECCO-2012 conference|
Missouri Estimation of Distribution Algorithms Laboratory
Department of Mathematics and Computer Science
University of Missouri in St. Louis, 320 ESH
One University Blvd.
St. Louis, MO 63121
Last modified: Mon Nov 14 12:07:22 CST 2011