Kalyanmoy Deb

Koenig Endowed Chair Professor



Computational optimization; optimal design; process optimization; optimal modeling and optimal system design; multi-objective optimization and multi-criterion decision analysis; large-scale optimization; evolutionary multi-objective optimization (EMO) for handling practicalities -- uncertainties, constraints, multi-modalities, noise, and mixed variables; meta-modeling in optimization; hybrid optimization algorithms using evolutionary and classical methods;  evolutionary computation in search, optimization of control of engineering problems; multi-modal optimization; design of self-adaptive evolutionary algorithms; combinatorial optimization; computational intelligence; neural networks; fuzzy logic systems; machine learning; practical applications of optimization in science, engineering, finance and in multi-disciplinary domains.