David Chalupa

A member of the Computational Science Research Group (CSRG) and an affiliated member of the Digital Centre at the University of Hull.
Previously a software engineer at ESET.
PhD in applied informatics, with research on stochastic graph algorithms.
Interested especially in complex networks, evolutionary computation and combinatorial optimisation.

Research | Full list of publications | University profile | DBLP


David Chalupa
School of Engineering and Computer Science
University of Hull
Cottingham Road, Hull HU6 7RX, UK
Office: Swale House
Email: D.Chalupa [substitute by at] hull.ac.uk

Selected Publications

DOI  ResearchGate
Chalupa, D., Balaghan, P., Hawick, K. A., Gordon, N. A.: Computational Methods for Finding Long Simple Cycles in Complex Networks. Knowledge-Based Systems, 125, 91-105, 2017.

DOI  ResearchGate
Chalupa, D., Blum, C.: Mining k-Reachable Sets in Real-world Networks Using Domination in Shortcut Graphs. Journal of Computational Science, to appear.

DOI  preprint  ResearchGate  BibTeX
Chalupa, D., Pospíchal, J.: Metaheuristically Optimized Multicriteria Clustering for Medium-Scale Networks. SOCO 2012, 337-346.
The original publication is available at www.springerlink.com.

DOI  ResearchGate
Chalupa, D.: On Transitions in the Behaviour of Tabu Search Algorithm TabuCol for Graph Colouring. Journal of Experimental & Theoretical Artificial Intelligence, to appear.

DOI  preprint  ResearchGate  BibTeX
Chalupa, D.: Population-based and learning-based metaheuristic algorithms for the graph coloring problem. GECCO 2011, 465-472.
This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 13th annual conference on Genetic and evolutionary computation, http://doi.acm.org/10.1145/2001576.2001641.