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SEAL 2012 : The Ninth International Conference on Simulated Evolution And Learning (SEAL'2012)

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Conference Series : Simulated Evolution and Learning
 
Link: http://fit.lqdtu.edu.vn/seal2012/index.htm
 
When Dec 16, 2012 - Dec 19, 2012
Where Ha Noi, Vietnam
Submission Deadline May 1, 2012
Notification Due Jul 1, 2012
Final Version Due Aug 1, 2012
Categories    artificial intelligence   evolutionary computation
 

Call For Papers

A First Call for papers
The Ninth International Conference on Simulated Evolution And Learning (SEAL'2012)
16-19 December 2012, Ha Noi, Vietnam

Hosted and Sponsored by Faculty of Information Technology, Le Quy Don Technical University
Aim and Scopes

Evolution and learning are two fundamental forms of adaptation. SEAL'2012 is the ninth 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-fertilization 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 optimization 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; 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 Optimization

Combinatorial Optimization
Numerical/Function Optimization
Hybrid Optimization Algorithms
Comparison of Algorithms
Nature-Inspired Algorithms (ant colony optimization, particle swarm optimization, 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
Memetic Computing
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 (pending). Selected best papers will be invited for further revisions and extensions for possible publications by a journal special issue.

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