**Elena
Popovici, Ph.D.**

Computer Scientist

Based in Vancouver, BC, Canada

lýno̱ = to solve

-metry = art or science of measuring

E. Popovici and E. Winston. A framework for co-optimization algorithm performance and its application to worst-case optimization. Theoretical Computer Science, 567:46 – 73, 2015.

E. Popovici, A. Bucci, R. P. Wiegand, and E. D. De Jong. Coevolutionary principles. In G. Rozenberg, T. Back, and J. N. Kok, editors, Handbook of Natural Computing, Theoretical Computer Science, pages 987–1033. Springer-Verlag, Berlin, 2012.

E. Popovici, E. Winston, and A. Bucci. On the practicality of optimal output mechanisms for co-optimization algorithms. In Proceedings of the 11th Workshop on Foundations of Genetic Algorithms, FOGA ’11, pages 43–60. ACM, 2011.

P. Stuermer, A. Bucci, J. Branke, P. Funes, and E. Popovici. Analysis of coevolution for worst-case optimization. In Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO ’09, pages 899–906. ACM, 2009.

*Note:*
Nominated for Best Paper Award, Genetic Algorithms
Track

E. Popovici and K. De Jong. Monotonicity versus performance in co-optimization. In Proceedings of the 10th Workshop on Foundations of Genetic Algorithms, FOGA ’09, pages 151–170. ACM, 2009.

E. Popovici, O. Bandte, and P. Gaudiano. New approaches for the automated performance evaluation and design of control systems: A firemain example. In Proceedings of the Automation and Controls Symposium. American Society of Naval Engineers, 2007.

E. Popovici. An Analysis of Two-population Coevolutionary Computation. PhD thesis, George Mason University, Fairfax, VA, USA, 2006.

E. Popovici and K. De Jong. Sequential versus parallel cooperative coevolutionary algorithms for optimization. In Proceedings of the IEEE Congress on Evolutionary Computation, CEC ’06, pages 1610–1617, 2006.

E. Popovici and K. De Jong. The effects of interaction frequency on the optimization performance of cooperative coevolution. In Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO ’06, pages 353–360. ACM, 2006.

*Note:*
Won Best Paper Award, Coevolution Track

E. Popovici and K. De Jong. The dynamics of the best individuals in co-evolution. Natural Computing, 5(3):229–255, 2006.

E. Popovici and K. De Jong. A dynamical systems analysis of collaboration methods in cooperative co-evolution. In Proceedings of the AAAI Fall Symposium: Coevolutionary and Coadaptive Systems Workshop, 2005.

E. Popovici and K. De Jong. Relationships between internal and external metrics in co-evolution. In Proceedings of the IEEE Congress on Evolutionary Computation, volume 3 of CEC ’05, pages 2800–2807, 2005.

E. Popovici and K. De Jong. Understanding cooperative co-evolutionary dynamics via simple fitness landscapes. In Proceedings of the Conference on Genetic and Evolutionary Computation, GECCO ’05, pages 507–514. ACM, 2005.

*Note:*
Won Best Paper Award, Coevolution Track

E. Popovici and K. De Jong. Understanding competitive co-evolutionary dynamics via fitness landscapes. In Proceedings of the AAAI Fall Symposium: Artificial Multiagent Learning, 2004.

[[ a different version also published as: E. Popovici and K. De Jong. Understanding competitive co-evolutionary dynamics via fitness landscapes. In Late Breaking Papers of the Genetic and Evolutionary Computation Conference, 2004. ]]

E. Oguejiofor, R. Kicinger, E. Popovici, T. Arciszewski, and K. De Jong. Intelligent tutoring systems: An ontology based approach. International Journal of Computing in Architecture Engineering, and Construction, 2(2), 2004.

E. Popovici and K. De Jong. Understanding ea dynamics via population fitness distributions. In Proceedings of the Genetic and Evolutionary Computation Conference, volume 2724 of Lecture Notes in Computer Science, pages 1604–1605. Springer, 2003.

M. Boicu, G. Tecuci, B. Stanescu, G. Balan, and E. Popovici. Ontologies and the knowledge acquisition bottleneck. In Proceedings of the Workshop on Ontologies and Information Sharing at the International Joint Conference on Artificial Intelligence. AAAI Press, 2001.

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