Expensive multi-objective optimization problems can be found in many real-world
applications, where their objective function evaluations involve expensive computations or …

Our previous work in the field of formalization, modeling, and design of adaptive training
complexes (ATCs) revealed the low accuracy of the traditional expert approach to selecting …

In this study, we implemented three steady-state versions of NSGA-III that differ by the
manner in which the offspring combined with the parent population is selected. These three …

Dynamic algorithm selection can be beneficial for solving numerical black-box problems, in
which we implement an online switching mechanism between optimization algorithms. In …

This article aims to present a strategy to properly distribute the graduates to complete a
fourth year of after-Lyceum apprenticeship in the specialized field of Vocational Education …

The use of differential evolution (DE) is investigated for the optimization of a novel rocket
based combined cycle (RBCC) engine inlet, over the supersonic flight regime. An RBCC …