Yuri Malitsky Source Confirmed

OverviewAI-generated summary

Yuri Malitsky's research centers on constraint satisfaction, optimization, and the development of metaheuristic optimization algorithms. His work encompasses AI-based problem-solving and planning, alongside machine learning techniques for data classification, data management, and algorithm design. Recent contributions include innovative approaches to algorithm configuration, such as real-time algorithm configuration through tournaments and the use of latent features for algorithm selection. Malitsky's work also explores non-model-based search guidance for set partitioning problems, and instance-specific algorithm configuration.

His primary research interests lie in the intersection of artificial intelligence and optimization, with a focus on enhancing problem-solving capabilities through intelligent algorithms and data-driven methodologies.

Metrics

• h-index: 19
• Publications: 58
• Citations: 1,424