A NEW APPROACH TO MUITI-CRITERIA EVOLUTIONARY SEARCH AND ITS APPLICATIONS TO DECISION-MAKING FOR TUBULAR GAS HEATERS

There is a known evolutionary search method that uses a king The new approach consists of sequential selection, first using selection with a blocking function for conflicting criteria, and then selection with an advantage function for a new criterion. The results of solving a test problem with 30 variables and three criteria are presented. The results demonstrate the good performance of the new approach. The search for a solution with three criteria required almost10 times fewer calculations than the number of calculations in an evolutionary search with two criteria and one selection. With its help, the problem of optimizing the emissions of a tubular gas heater on wood pellets was solved numerically using mathematical models of emissions based on experimental data. The mathematical models are presented in the form of three dimensionless complexes that describe the processes of burning wood pellets in a tubular gas heater. The result of optimization is the control parameters at which minimum gas emissions (CO and NOx) are ensured. The obtained solutions for optimizing heater emissions ensure compliance with the gas emission requirements for natural gas combustion.