Call For Papers
The Seventh International Conference on Simulated Evolution And Learning
(SEAL'08)
7 - 10 December 2008, Melbourne, Australia
http://www.cs.rmit.edu.au/seal08/
Hosted and Sponsored by
Evolutionary Computation and Machine Learning Group (ECML)
School of Computer Science and
IT, RMIT University
Department of Computer Science and Software Engineering, The University of Melbourne
School of Information Technology,
Monash University
Aim and Scopes
Evolution and learning are two fundamental forms of adaptation. SEAL'08 is
the seventh biennial conference in the highly successful series that aims at
exploring these two forms of adaptation and their roles and interactions in
adaptive systems. Cross-fertilisation between evolutionary learning and other
machine learning approaches, such as neural network learning, reinforcement
learning, decision tree learning, fuzzy system learning, etc., will be strongly
encouraged by the conference. The other major theme of the conference is
optimisation 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 Optimisation; Hybrid Learning;
Adaptive Systems; Theoretical Issues in Evolutionary Computation; Real-World
Applications of Evolutionary Computation Techniques.
1. Evolutionary Learning |
- Fundamental Issues in Evolutionary Learning
- Co-Evolutionary Learning
- Modular Evolutionary Learning Systems
- Classifier System
- Collective Intelligence
- Representation Issues in Evolutionary Learning
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- Artificial Immune Systems
- Interactions Between Learning and Evolution
- Credit Assignment
- Swarm Intelligence
- Comparison between Evolutionary Learning and Other Learning Approaches
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2. Evolutionary Optimisation |
- Combinatorial Optimisation
- Numerical/Function Optimisation
- Hybrid Optimisation Algorithms
- Comparison of Algorithms
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- Nature-Inspired Algorithms (ant colony optimisation, particle swarm
optimisation, memetic algorithms, simulated annealing, etc.)
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3. Hybrid Learning |
- Evolutionary Artificial Neural Networks
- Evolutionary Fuzzy Systems
- Evolutionary Reinforcement Learning
- Evolutionary Clustering
- Evolutionary Decision Tree Learning
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- Evolutionary Unsupervised Learning
- Genetic Programming
- Other Hybrid Learning Systems
- Developmental Processes
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4. Adaptive Systems |
- Complexity in Adaptive Systems
- Evolutionary Robotics
- Evolvable Hardware and Software
- Artificial Ecology
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- Evolutionary Games
- Self-Repairing Systems
- Evolutionary Computation Techniques in Economics, Finance and Marketing
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5. Theoretical Issues in Evolutionary
Computation |
- Computational Complexity of Evolutionary Algorithms
- Self-Adaptation in Evolutionary Algorithms
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- Convergence and Convergence Rate of Evolutionary Algorithms
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6. Real-World Applications of
Evolutionary Computation Techniques | |
Publications
All accepted papers which are presented at the conference
will be included in the conference proceedings, published as
LNCS (Lecture Notes in Computer
Science) by Springer. Selected best papers will be invited for further
revisions and extensions for possible publications by two journal special
issues (
Soft Computing and
Evolutionary Intelligence).
Important Dates
14 July 2008, Extended deadline for submission of full papers (<=10 pages)
18 August 2008, Notification of acceptance
8 September 2008, Deadline for camera-ready copies of accepted papers
7 ~ 10 December 2008, Conference sessions (including tutorials and workshops)
Here is a PDF version of the Call-For-Papers.