Prof. Yuri Sotskov | Scheduling Theory | Best Researcher Award

United Institute of Informatics Problems of the National Academy of Sciences of Belarus | Belarus

Prof. Yuri Sotskov is a leading researcher in applied mathematics, operations research, graph theory, and scheduling, with a prolific publication record exceeding 110 works, including scientific monographs, textbooks, and over 200 international journal and conference papers. His research focuses on optimization algorithms, combinatorial and permutation-based scheduling, differential evolution strategies, and multi-objective decision-making models, with applications in manufacturing, steelmaking, and complex production systems. Prof. Yuri Sotskov has contributed significant innovations in energy-efficient scheduling, hybrid job-shop optimization, and algorithmic approaches for multi-processor and multi-energy systems, demonstrating both theoretical depth and practical impact. His work has been widely recognized, reflected in 1,889 citations and an h-index of 26, and he serves on the editorial boards of multiple international journals. His sustained research productivity, influential publications, and advancements in algorithmic and mathematical modeling firmly establish him as a leading figure in his field, making him a highly deserving candidate for prestigious research recognition.

Profile: Scopus | Orcid

Featured Publications

• Sotskov, Y. N., … (2026). An iterative greedy algorithm based on neighborhood search for energy-efficient scheduling of distributed permutation flowshop with sequence-dependent setup time. Expert Systems with Applications.

• Sotskov, Y. N., … (2025). A review of dynamic flexible regulation strategies for multi-energy coupled steelmaking-continuous casting production. [Journal name unavailable].

• Sotskov, Y. N., … (2025). Hierarchically controlled differential evolution algorithm. Expert Systems with Applications.

• Sotskov, Y. N., … (2025). Diversity enhancement-based differential evolution with a novel perturbation strategy. Swarm and Evolutionary Computation.

• Sotskov, Y. N., … (2025). Differential evolution based on individual information parameter setting and diversity measurement of aggregated distribution. Swarm and Evolutionary Computation.