Evolutionary Computation

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This research field shows us how to use simulated evolution to achieve relationship between learning and intelligence. This relationship we can achieve by modeling evolutionary processes and in that way we can create entities capable of generating intelligent behavior. Systems needed in that problem solving area based on principles of evolution. Such systems maintain a population of potential solutions, they have some selection process based on fitness of individuals, and some genetic operators. There are more algorithms underlie evolutionary systems: Evolutionary Strategies, Evolutionary Programming, Genetic Algorithms and Genetic Programming.

The main research topics are:
1. EVOLUTIONARY FUZZY SYSTEMS
2. EVOLUTYONARY NEURAL SYSTEMS
3. GENETIC FUZZY NEURAL SYSTEMS
4. EVOLUTIONARY METHODS FOR MOBILE ROBOT MOTION CONTROL
5. GENETIC ALGORITHMS IN SPEECH RECOGNITION SYSTEMS
6. GENETIC ALGORITHMS IN COMPUTATIONALL INTELLIGENCE
7. GENETIC ALGORITHMS IN COMMUNICATION SYSTEMS


Update 07.10.2009