"The Design And Implementation of Open System With Genetic Algorithms And Multilayer Neural Network (Back Propagation) To Aproximate Object Function"

Genetic algorithms represent one of the biologically inspired paradigms used for solution of complicated optimisation problems. Genetic algorithm works with Population (=set of acceptable solutions) New generation is set in from old one by using operation of Selection, Crossover and Mutation. The goal is to get the population with solution as good as possible. The qality to a result gives the evaluation function. Genetic algorithms dont need any special analytical property of this function. In case that the function cant be expressed analitically, neural network will be used for its aproximation.

Means: The system will be realised on workstations of UNIX operating system. For parallel computing will be used PVM (Parallel Virtual Machine) system. GUI (Graphical User Interface) is expected to be X-Windows.