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| Aims
and Scope |
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Evolution and learning are two fundamental
forms of adaptation. SEAL'06 is the sixth 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: |
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| 1. Evolutionary Learning |
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- 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
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- 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, ...)
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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 |
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Publications
All accepted papers which are presented at the
conference will be included in the conference proceedings, published
by Springer in their Lecture Notes in Computer Science series. |
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Important Dates
Paper submission
Paper Acceptance
Final Papers
Conference
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April 21, 2006 April 28, 2006
June 19, 2006 July 11, 2006
July 14, 2006 July 24, 2006
October 15-18, 2006
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