CFP: Special Session on OEDA of SEAL 2006 |
http://learn.tsinghua.edu.cn:8080/2003315425/OEDA.htm Special Session on 15-18 October 2006 Scope and Theme of Special Session OEDA Recently, there has been a growing interest in evolutionary algorithms that guide the exploration of the search space by building and using probabilistic models of promising solutions. The way to make variation operators more powerful and flexible is to replace traditional variation of Genetic and evolutionary computation by the following two steps: 1. Build a probabilistic model of the selected promising solutions, and 2. sample the built model to generate a new population of candidate solutions. Algorithms based on this principle are called estimation of distribution algorithms (EDAs), but are also known as probabilistic model-building genetic algorithms (PMBGAs) and as iterated density{estimation evolutionary algorithms (IDEAs). These algorithms introduce a new paradigm of evolutionary computation without using conventional evolutionary operators such as crossover and mutation. EDAs have shown to resolve a number of problems the conventional GAs experience great difficulties with and solve a number of difficult problems quickly, accurately, and reliably. The proposed methods are increasingly used to solve various problem of practical and theoretical importance. Theory was designed to understand the dynamics of the algorithms as well as their limits. The purpose of the special session is to present and discuss general issues of research in this area, including (but not limited to):
The special session of “optimization by estimation of distribution algorithms (OEDA)” aims to push onward the state-of-the-art in EDAs both theoretical as well as empirical by
Paper Submission Important Dates Publications All accepted papers which are registered and presented in the special sessions will be included in the conference proceedings, published by Springer in their Lecture Notes in Computer Science series. More details about paper publication can refer to http://nical.ustc.edu.cn/seal06.
Organizers: Zhou Shude Email:
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Technology Committee: Martin Pelikan (University of Missouri-St. Louis, USA) Some Links SEAL 2006 (The 6th International Conference on Simulated Evolution and Learning) Please feel free to email This e-mail address is being protected from spambots. You need JavaScript enabled to view it if you have any questions.:-) |