معرفی
Arina Buzdalova is a Lecturer in Computer Science at the Department of Computer Science, Aberystwyth University. Her research focuses on evolutionary algorithms, reinforcement learning, and optimization techniques, particularly in the context of dynamic selection of auxiliary objectives and runtime analysis. She has authored over 27 research outputs since 2011, with notable contributions to theoretical and applied aspects of evolutionary computation.
Her work explores hybridization of clonal selection algorithms with local search, analysis of mutation rate control in evolutionary algorithms, and the use of reinforcement learning to enhance algorithmic efficiency. Key research themes include adaptive systems, stochastic optimization, and theoretical bounds on algorithm performance. Collaborations span international conferences in computational intelligence and evolutionary computation.
Publications span topics such as re-optimization under frequent changes, fixed-target runtime analysis, and trade-offs in heuristic search. Her research bridges theoretical foundations with practical applications in optimization and artificial intelligence.
