Martin Pelikan
Personal Web PagePosition
- Assistant Professor
- Director of MEDAL
Research interests
- Evolutionary computation
- Machine learning
- Artificial intelligence
Selected publications
- Pelikan, M., Sastry, K., Cantu-Paz, E. (eds.) (2006). Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications. Springer.
- Pelikan, M. (2005). Hierarchical Bayesian optimization algorithm: Toward a new generation of evolutionary algorithms. Springer-Verlag.
- Potthast, F., Ocenasek, J., Rutishauser, D., Pelikan, M., & Schlapbach, R. (2005). Database independent detection of isotopically labeled MS/MS spectrum peptide pairs. Journal of Chromatography B, 817 (2), 225-230.
- Pelikan, M., Ocenasek, J., Trebst, S., Troyer, M., & Alet, F. (2004). Computational complexity and simulation of rare events of Ising spin glasses.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), 36-47.
- Pelikan, M., Sastry, K. (2004). Fitness inheritance in the Bayesian optimization algorithm. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004), 48-59.
- Pelikan, M., & Goldberg, D. E. (2003). A hierarchy machine: Learning to optimize from nature and humans. Complexity, 8(5), 36-45.
- Pelikan, M., Goldberg, D. E., & Tsutsui, S. (2003).
Getting the best of both worlds: Discrete and continuous genetic and evolutionary algorithms in concert.
Information Sciences, 156 (3-4), 147-171.
- Pelikan, M., Goldberg, D. E., & Lobo, F. (2002).
A survey of optimization by building and using probabilistic models. Computational Optimization and Applications, 21(1), 5-20.
- Pelikan, M., Sastry, K., & Goldberg, D. E. (2002). Scalability of the Bayesian optimization algorithm. International Journal of Approximate Reasoning, 31(3), 221-258.
- Pelikan, M., Goldberg, D. E., & Cantu-Paz, E. (1999). BOA: The Bayesian optimization algorithm. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-99), I, 525-532.
- Pelikan, M., Goldberg, D. E., & Cantu-Paz, E. (2000). Linkage problem, distribution estimation, and Bayesian networks. Evolutionary Computation, 8(3), 311-341.
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