Manuel Schmitt



Organisationseinheit


Professur für Informatik (Effiziente Algorithmen und Kombinatorische Optimierung)


Preise / Auszeichnungen


2013 : Best Paper Award: Particle Swarm Optimization Almost Surely Finds Local Optima


Mitarbeit in Forschungsprojekten


PSO: Partikelschwarm-Optimierung
Prof. Dr. Rolf Wanka
(24.07.2008 - 28.08.2020)


Publikationen (Download BibTeX)


Mühlenthaler, M., Raß, A., Schmitt, M., Siegling, A., & Wanka, R. (2017). Runtime Analysis of a Discrete Particle Swarm Optimization Algorithm on Sorting and OneMax. In ACM New York, NY, USA (Eds.), Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (pp. 13-24). Copenhagen, Denmark, DK.
Raß, A., Schmitt, M., & Wanka, R. (2015). Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis. In ACM New York, NY, USA (Eds.), Companion of Proc. 17th Genetic and Evolutionary Computation Conference (GECCO) (pp. 1463-1464). Madrid, Spain, ES.
Raß, A., Schmitt, M., & Wanka, R. (2015). Explanation of Stagnation at Points that are not Local Optima in Particle Swarm Optimization by Potential Analysis [Extended Version].
Schmitt, M., Wanka, R., & Schwab, L. (2015). Multimodal Medical Image Registration Using Particle Swarm Optimization with Influence of the Data's Initial Orientation. In Proc. 12th IEEE Conf. on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (pp. 403-410). Niagara Falls, CA.
Schmitt, M., & Wanka, R. (2015). Particle Swarm Optimization Almost Surely Finds Local Optima. Theoretical Computer Science, 561A, 57-72. https://dx.doi.org/10.1016/j.tcs.2014.05.017
Bassimir, B., Schmitt, M., & Wanka, R. (2014). How Much Forcing is Necessary to Let the Results of Particle Swarms Converge? In Proc. Int. Conf. on Swarm Intelligence Based Optimization (ICSIBO) (pp. 98-105).
Lange, V., Schmitt, M., & Wanka, R. (2014). Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality. In Proc. International Conference on Adaptive and Intelligent Systems (ICAIS) (pp. 90-99). Bournemouth, UK: Springer Verlag.
Schmitt, M., & Wanka, R. (2013). Exploiting Independent Subformulas: A Faster Approximation Scheme for #k-SAT. Information Processing Letters, 113, 337-344. https://dx.doi.org/10.1016/j.ipl.2013.02.013
Schmitt, M., & Wanka, R. (2013). Particles Prefer Walking Along the Axes: Experimental Insights into the Behavior of a Particle Swarm. In Companion of Proc. 15th Genetic and Evolutionary Computation Conference (pp. 17-18). Amsterdam, NL.
Schmitt, M., & Wanka, R. (2013). Particle Swarm Optimization Almost Surely Finds Local Optima. In Proc. 15th Genetic and Evolutionary Computation Conference (pp. 1629-1636). Amsterdam, NL: Elsevier.

Zuletzt aktualisiert 2016-05-05 um 05:17