Comparison of algorithms for multi-objective optimization of radio technical device characteristics

Objectives. The selection of a method for solving multi-objective optimization problems has many practical applications in diverse fields. present work compares the results applying different methods to selected classes by solution quality, time consumption, and various other criteria. Methods. Five related analog digital filters, as well multistep impedance-matching microwave transformers, are considered. One compared algorithms comprises Third Evolution Step Generalized Differential (GDE3) population-based algorithm searching full approximation Pareto set simultaneously, while three minimize scalar objective function find only one element single search cycle: these comprise Multistart Pattern Search (MSPS), Sequential Quadratic Programming (MSSQP) Particle Swarm Optimization (PSO) algorithms. Results. computer experiments demonstrated capability GDE3 solve all considered problems. MSPS PSO showed significantly inferior than two In problem, MSSQP could not be used reach acceptable decisions. problems, MSPS, MSSQP, reached decisions comparable with GDE3. consumption was much greater that MSSQP. Conclusions. may recommended basic Algorithms minimizing obtain several elements set. It is necessary investigate impact landscape features individual quality indices functions on extreme process.