Pareto Set Narrowing Based on Preference Sampling and Pairs of Criteria Processing for Turbogenerator Design Optimization

The paper considers an approach to narrowing the Pareto set, which, in the authors’ opinion, is aimed at solving engineering problems related to the design of complex devices. The authors believe that this approach has a number of advantages over using fuzzy logic to narrow the Pareto set. For the effective use of the latter, it is necessary to develop a set of rules, the success of which will determine the degree of compression of the set. For different devices, the sets of these rules are also different, and the complex problem of narrowing the Pareto set is reduced to another (in our opinion, less complex) problem of developing the best rules. The approach considered in this paper, related to the analysis of pairs of criteria, does not require additional rules, seems to us less labor-intensive and meets the goal of the work – obtaining a high-quality design solution in minimal time.