Simulated Evolution And Learning (SEAL-2010)

by Amit

Simulated Evolution and Learning SEAL-2010 (  is the eighth biennial conference in the highly  successful conference series that aims at exploring these two forms of  adaptation and their roles and interactions in adaptive systems. Any  paper involving evolution as a vehicle for adaptive and artificial  problem solving tasks and any form of computational and machine  learning procedure for developing and analyzing adaptive or artificial  systems will be of interest to this conference. Cross-fertilisation  between evolutionary learning and other machine learning approaches,  such as neural network learning, reinforcement learning, decision tree  learning, fuzzy system learning, etc., are encouraged by the conference. The other major theme of the conference is optimization problem solving by evolutionary approaches or hybrid evolutionary
approaches. The topics of interest to this conference include but are not limited to the following: Evolutionary Learning; Evolutionary Optimization (single and multi-objective); Hybrid Learning; Hybrid Optimization, Adaptive Systems; Theoretical Issues in Evolutionary Computation; Real- World Applications of Evolutionary Computation and Learning Techniques.

All accepted papers which are presented at the conference will be included in the conference proceedings, published as a volume of the series Lecture Notes in Computer Science, Springer. Selected best papers will be invited for further revisions and extensions for possible publications by volutionary computing related journals.


05 July 2010, for submission of full papers (<=10 pages (pdf only) ) (Latex Template, Word Template).
16 August 2010, Notification of acceptance
03 September 2010, Deadline for camera-ready copies of accepted papers
1-4 December 2010, Conference sessions (including tutorials and workshops)

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