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Genetic algorithms are well-known, simple and powerful optimizing method, inspired by Darwin's evolutionary theory. They are used in many areas. Their advantage is that they do not need a mathematical description of the optimized problem. Therefore they are good alternative to mathematical-based methods, if these have failed.
More applications of genetic algorithms have been designed and implemented in the author's organization. Some of them are described in this contribution: a system for production optimization in production systems, a system for planning of robot's optimal trajectory and a system for faces (identikits) design by genetic algorithms.