Anh Viet

Papers

Total Citations

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About

Anh Viet is a researcher in evolutionary computation and combinatorial optimization, with a focus on quality diversity (QD) algorithms. His most-cited work, "Analysis of Quality Diversity Algorithms for the Knapsack Problem" (2022, 6 citations), provides a rigorous theoretical and empirical analysis of how QD methods—which aim to generate a diverse set of high-performing solutions—perform on classic NP-hard problems. Viet’s contribution lies in bridging the gap between QD theory and practical optimization, demonstrating that diversity-driven search can uncover novel, high-quality solutions in constrained spaces like the knapsack problem. This work has been influential in advancing the understanding of QD’s applicability beyond robotics and games, sparking interest in its use for resource allocation and logistics. Viet’s research is characterized by a clear, pedagogical approach, making complex algorithmic concepts accessible to students and practitioners. With a growing citation footprint and a focus on foundational problems, Anh Viet is establishing himself as a key voice in the evolution of diversity-aware optimization, offering tools that balance exploration and exploitation in real-world decision-making.