Cvetkov

 The article deals with a three-objective optimization of slotted filter geometry produced by an innovative method of deforming cutting. This method was developed by Professor N.N. Zoubkov from BMSTU. The multiobjective problem is solved by using the interactive PREF method proposed by the authors. This method is based on the assumption that a decision maker (DM) is able to provide, in some form, preference information related to various solutions proposed by multiobjective optimization software. The DM’s utility function is approximated by a neural network. This work presents a three-objective optimization problem statement of filter design, a short description of an interactive method and its software implementation along with results of computational experiments.