| |
|
|
|
| Call for Papers |
|
|
The Sixth International Conference on Simulated Evolution
And Learning (SEAL'06)
15-18 October 2006 Hefei, China
http://nical.ustc.edu.cn/seal06/
Hosted and Sponsored by
Nature Inspired Computation and Applications Laboratory (NICAL)
Department of Computer Science and Technology
University of Science and Technology of China
Hefei, Anhui 230027, China
In cooperation with
National Natural Science Foundation of China
Chinese Academy of Sciences
Anhui Computer Federation
Anhui Province Key Laboratory for Computing and Communication
Software Engineering
|
|
|
AIMS
AND SCOPES
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: |
|
|
| 1. Evolutionary Learning |
- Fundamental Issues in Evolutionary Learning
- Co-Evolutionary Learning
- Modular Evolutionary Learning Systems
- Classifier System
- Collective Intelligence
- Representation Issues in Evolutionary Learning
|
- Artificial Immune Systems
- Interactions Between Learning and Evolution
- Credit Assignment
- Swarm Intelligence
- Comparison between Evolutionary Learning and Other Learning
Approaches
|
|
|
| 2. Evolutionary Optimisation
|
- Combinatorial Optimisation
- Numerical/Function Optimisation
- Hybrid Optimisation Algorithms
- Comparison of Algorithms
|
- Nature-Inspired Algorithms (ant colony optimisation, particle
swarm optimisation, memetic algorithms, simulated
annealing, ...)
|
|
|
| 3. Hybrid Learning |
- Evolutionary Artificial Neural Networks
- Evolutionary Fuzzy Systems
- Evolutionary Reinforcement Learning
- Evolutionary Clustering
- Evolutionary Decision Tree Learning
|
- Evolutionary Unsupervised Learning
- Genetic Programming
- Other Hybrid Learning Systems
- Developmental Processes
|
|
|
| 4. Adaptive Systems |
- Complexity in Adaptive Systems
- Evolutionary Robotics
- Evolvable Hardware and Software
- Artificial Ecology
|
- Evolutionary Games
- Self-Repairing Systems
- Evolutionary Computation Techniques in Economics, Finance
and Marketing
|
|
|
| 5. Theoretical Issues in Evolutionary
Computation |
- Computational Complexity of Evolutionary Algorithms
- Self-Adaptation in Evolutionary Algorithms
|
- Convergence and Convergence Rate of Evolutionary Algorithms
|
|
|
| 6. Real-World
Applications of Evolutionary Computation Techniques |
|
|
|
| PAPER
SUBMISSION |
|
All manuscripts must be prepared in LaTeX
according to Springer-Verlag's llncs style, or MS-Word templates provided by the Spring Lecture Notes (URL: http://www.springeronline.com/lncs).
It is absolutely essential that you follow the instructions
there. Each submitted paper must include a title, a 70-150
word abstract, the names and addresses
of all authors (including email addresses), and the body.
The length of submitted papers must be no more than 8 single-spaced,
single-column pages including all figures, tables and bibliography.
All papers must be submitted electronically via the conference
website. Papers submitted via other means will not be considered. |
|
|
|
| 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 (URL: http://www.springeronline.com/lncs).
|
 |
|
|
|
|
|
|
|
IMPORTANT DATES
|
|
Paper submission
Acceptance
Final Papers
Conference |
April 21, 2006 April 28, 2006
June 19, 2006 July 11, 2006
July 14, 2006 July 24, 2006
October 15-18, 2006 |
|
|
|
| |
|
|
