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MENDEL 2012 : 18th International Conference on Soft Computing MENDEL 2012


When Jun 27, 2012 - Jun 29, 2012
Where Brno, Czech Republic
Submission Deadline May 10, 2012
Notification Due May 26, 2012
Final Version Due Jun 2, 2012
Categories    soft computing   computational intelligence   artificial intelligence   neural networks

Call For Papers

International Conference on Soft Computing MENDEL 2012

Evolutionary Computation, Soft Computing, Computational Intelligence, Artificial Inteligence, Fuzzy Logic, Neural Networks, Bayesian Methods, Fractals, Simulation, Robotics, Intelligent Systems, Image Processing...

Nature-inspired computing is one of the most important tools for complex systems solving and problems evaluation. Some of the recent methods are Evolutionary Algorithms, Neural networks, Differential Evolution, Swarm Intelligence, Scatter Search, Genetic Algorithms, Self-Organizing Migrating Algorithm, Fuzzy logic, Fractals, etc.

Other techniques, such as Genetic Programming / Grammatical Evolution or similar techniques, are widely used today in order to get elegant solutions of complex systems in reasonable time. Examples of such systems can be seen in ordinary world around us and of course in almost every science discipline, including such “exotic” domains as the earth’s atmosphere, turbulent fluids, economies (exchange rate and stock markets), population growth, physics (control of plasma) and chemistry for example.

Brno, the workplace of the "Father of Genetics" and the conference organizers, is very pleased to offer a conference platform on modern engineering using the principles of heredity. The International Conference on Soft Computing MENDEL 2012 organizers wish to create a base for a theoretical and practical exchange of knowledge of artificial evolution theories. Theoretical papers that relate to the conference topic are welcome, as are any practical results and knowledge from the field of computational intelligence.

The scope of the Soft Computing Conference includes, but is not limited to:

Innovation and Theory:

* Genetic Algorithms
* Genetic Programming
* Grammatical Evolution
* Differential Evolution
* Evolutionary Strategies
* Hybrid and Distributed Algorithms
* Probabilistic Metaheuristic
* Swarm Inteligence, Ant Colonies
* Artifical Immune Systems
* HPC and Evolutionary Algorithms
* Evolvable Hardware, Chemical Evolution
* Fuzzy Logic, Bayesian methods
* Neural Networks
* Multi-Agent Systems
* Artificial Life
* Chaos, Fractals, Rough Sets
* Image Processing, Computer Vision
* Mathematical Techniques and Analysis
* Information Physics


* Optimisation Problems
* Control Design,Robotics
* Modeling and Simulation
* Artificial Inteligence
* System Identification
* Image Processing
* Signal Processing
* Pattern Recognition
* Machine Learning
* Scheduling Algorithms
* Motion Planning
* Computer Science
* Astronomy, Biology
* Mathematics, Physics
* Chemistry, Medicine
* Process Industry
* Business, Economics
* Decision-making
* Manufacturing

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