Biography
Wolfgang Banzhaf is the John R. Koza Chair for Genetic Programming and a professor in the Department of Computer Science and Engineering. His research interests are in the field of bio-inspired computing, notably evolutionary computation and complex adaptive systems. Studies of self-organization and the field of artificial life are of interest to him. He recently become more involved with network research as it applies to natural and man-made systems.
Research Area
Awards
Academic Year 2002/2003: "Lehrer Lempel Preis der Studenten" for best undergrad course in term, Department of Computer Science, University of Dortmund, together with Peter Marwedel
Academic Year 2001/2002: "Lehrer Lempel Preis der Studenten" for best undergrad course in term, Department of Computer Science, University of Dortmund, together with Peter Marwedel
2011: Best paper award, Genetic Programming Track, GECCO 2011, Dublin, Ireland, together with Shelly Wu (first author)
2010: University Research Professorship at Memorial University
2010: Best paper award, Combinatorial Optimization Track, GECCO 2010, Portland, OR, together with Shelly Wu (first author)
2007: EvoStar Award for Outstanding Contributions to the field of Evolutionary Computation in Europe
Research Group
Education
Dr.rer.nat (PhD), Department of Physics of the Technische Hochschule Karlsrue Institute of Technology, now Karlsrue Institute of Technology (KIT)
Diplom in Physik (M.Sc), Ludwig-Maximilians-University, Munich
Links
Publications
Defining and Simulating Open-Ended Novelty: Requirements, Guidelines, and Challenges. Banzhaf, W.; Baumgaertner, B.; Beslon, G.; Doursat, R.; Foster, J.; McMullin, B.; de Melo, V.; Miconi, T.; Spector, L.; Stepney, S.; and White, R. Theory in Biosciences, 135: 131 - 161. 2016.
Quantitative Analysis of Evolvability Using Vertex Centralities in Phenotype Network. Hu, T.; and Banzhaf, W. In Proceedings of the Genetic and Evolutionary Computation Conference 2016, of GECCO '16, pages 733--740, New York, NY, USA, 2016. ACM
Open-Ended Evolution: Perspectives from the OEE Workshop in York. Taylor, T.; Bedau, M.; Channon, A.; Ackley, D.; Banzhaf, W.; Beslon, G.; Dolson, E.; Froese, T.; Hickinbotham, S.; Ikegami, T.; McMullin, B.; Packard, N.; Rasmussen, S.; Virgo, N.; Agmon, E.; Clark, E.; McGregor, S.; Ofria, C.; Ropella, G.; Spector, L.; Stanley, K.; Stanton, A.; Timperley, C.; Vostinar, A.; and Wise, M. Artificial Life, 22: 408 - 423. 2016.
Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search. Wang, Y.; Qian, Y.; Li, Y.; Gong, M.; and Banzhaf, W. In Proceedings of the Genetic and Evolutionary Computation Conference 2016, of GECCO '16, pages 1037--1044, New York, NY, USA, 2016. ACM
Primary Department
