معرفی
Nina Bulanova is a Lecturer in Computer Science at the Department of Computer Science, Aberystwyth University. Her research focuses on evolutionary computation, black-box complexity, and bio-inspired algorithms such as clonal selection and artificial immune systems. She has contributed to optimizing algorithms for dynamic environments and hybridizing bio-inspired techniques with local search methods.
Her work spans theoretical analysis of algorithm performance, including memory-constrained models and operator design in evolutionary algorithms. Key contributions include studies on re-optimization under frequent changes, fixed-arity algorithms, and unbiased black-box complexity analysis.
Bulanova has collaborated extensively on topics such as hybrid optimization strategies combining artificial immune systems with local search, and her publications appear in venues like IEEE Congress on Evolutionary Computation, GECCO, and MENDEL conferences. Her research bridges algorithm design theory and practical applications in dynamic optimization landscapes.
