GENETIC ALGORITHMS IN THE SOFT COMPUTING FRAMEWORK, APPLICATION IN COMPLEX CYBERNETIC SYSTEMS

In the first part of paper the concept and framework of soft-computing is introduced analyzing its emergence conditions, its main components and framework interactions. The second chapter underlines the contribution of evolutionary computations, especially of genetic algorithms to the soft-computing environment. The third chapter presents some original examples of typical soft-computing aggregation of intelligent technologies : both applications of genetic algorithms in neural networks and in fuzzy systems. Concluding remarks underline the real advantages of using genetic algorithms in solving concrete problems of complex cybernetic systems.