Martin Pelikan

Martin Pelikan received his Ph.D. degree in computer science from the University of Illinois at Urbana-Champaign in 2002. Since 2003, he has been an Assistant Professor at the Department of Mathematics and Computer Science at the University of Missouri in St. Louis. In 2006, Pelikan founded the Missouri Estimation of Distribution Algorithms Laboratory (MEDAL). Prior to joining the University of Missouri, he worked at the Illinois Genetic Algorithms Laboratory (IlliGAL), the German National Center for Information Technology in Sankt Augustin, the Slovak University of Technology in Bratislava, and the Swiss Federal Institute of Technology (ETH) in Zurich. Pelikan has worked as a researcher in genetic and evolutionary computation since 1995. His most important contributions to genetic and evolutionary computation are the Bayesian optimization algorithm (BOA), the hierarchical BOA (hBOA), the scalability theory for BOA and hBOA, and the efficiency enhancement techniques for BOA and hBOA. His current research focuses on extending BOA and hBOA to other problem domains, applying genetic and evolutionary algorithms to real-world problems with the focus on physics and machine learning, and designing new efficiency enhancement techniques for BOA and other evolutionary algorithms.

Biography Updated on 2 February 2010

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