Yu. G. Evtushenko

Dorodnitsyn Computing Centre, Computing Center

Papers

Total Citations

H-Index

About

Yu. G. Evtushenko is a leading figure in global optimization, with foundational contributions to multi-objective optimization and the solution of nonlinear systems. His most influential work, a 2013 paper with 42 citations, introduces a deterministic algorithm for global multi-objective optimization under box constraints. This method is distinguished by its ability to not only construct a finite approximation of the Pareto frontier but also to rigorously prove its ε-optimality—a critical advance that bridges theoretical guarantees with practical computation. Evtushenko further extended his impact through a 2017 study (9 citations) on approximating solution sets for systems of nonlinear inequalities. Here, he developed a method based on nonuniform coverings, which efficiently computes both interior and exterior approximations of the solution set with prescribed accuracy. This work is particularly valuable for engineering and design problems where precise feasibility regions are essential. Evtushenko’s research is characterized by a rare combination of algorithmic innovation and rigorous theoretical validation, making his methods both reliable and scalable. His contributions continue to influence modern optimization, offering powerful tools for tackling complex, real-world decision-making challenges.