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EUSFLAT
2003

Evolvable fuzzy controllers using parallel evolutionary algorithms

11 years 9 months ago
Evolvable fuzzy controllers using parallel evolutionary algorithms
We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchical structure. It can speed up the creation of optimization algorithms with high quality features. The adaptive significance of genetic algorithms (GAs) with diploid chromosomes and an artificial immune system has been studied. An artificial immune system was designed to support the parallel evolutionary algorithms. We implemented hybrid and parallel genetic algorithms for design of evolvable controllers. A flexible structure with fuzzy controllers can be designed by parallel evolutionary algorithms. The adaptive significance of parallel GAs and the comparison with standard GAs are presented.
Pavel Osmera
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where EUSFLAT
Authors Pavel Osmera
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