查看完整版本: Simulated Evolution And Learning (SEAL'08) LNCS PRESS EI&ISTP

Simulated Evolution And Learning (SEAL'08) LNCS PRESS EI&ISTP

[url]http://www.cs.rmit.edu.au/seal08/cfps.html[/url]

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
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, etc.)

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  

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)

看了这个会议的组织方和邀请的专家，有一个Xin Yao是ieee tec的主编很牛的，对会议的质量很放心。