Computer Science
School of Engineering & Computer Science

Dr David Chalupa

Dr David Chalupa

Lecturer

School of Engineering and Computer Science

  • Profile
  • Teaching
  • Research
  • Key Publications

Profile

Teaching

  • 08220 Systems Analysis, Design and Process
  • 08346 Distributed Systems Programming
  • 08983 Distributed Applications

Research

Research interests

  • evolutionary computation
  • complex networks
  • combinatorial optimisation

Key Publications

Chalupa, D., Pospíchal, J.: An Analysis of an Iterated Greedy Algorithm for Vertex Clique Covering. Computing and Informatics, to appear.
Chalupa, D.: Construction of Near-optimal Vertex Clique Covering for Real-world Networks. Computing and Informatics, 34(6), 1397--1417, 2015.
Chalupa, D.: On Combinatorial Optimisation in Analysis of Protein-Protein Interaction and Protein Folding Networks. In G. Squillero and P. Burelli, editors, Applications of Evolutionary Computation, EvoApplications 2016, Lecture Notes in Computer Science, 2016. Springer, Berlin / Heidelberg, 91--105.
Chalupa, D.: Population-based and learning-based metaheuristic algorithms for the graph colouring problem. In N. Krasnogor and P. L. Lanzi, editors, Proceedings of the 13th annual conference on Genetic and evolutionary computation, GECCO 2011, Dublin, Ireland, 2011. ACM, New York, 465--472.
Chalupa, D., Pospíchal, J.: Metaheuristically Optimized Multi-criteria Clustering for Medium-Scale Networks. In V. Snášel, A. Abraham and E. S. Corchado, editors, Soft Computing Models in Industrial and Environmental Applications, 7th International Conference, SOCO ’12, Ostrava, Czech Republic, Advances in Intelligent Systems and Computing, Vol. 188, 2013. Springer, Berlin / Heidelberg, 337--346.
Chalupa, D.: An Analytical Investigation of Block-based Mutation Operators for Order-based Stochastic Clique Covering Algorithms. In C. Blum and E. Alba, editors, Proceedings of the 15th annual conference on Genetic and evolutionary computation, GECCO 2013, Amsterdam, the Netherlands, 2013. ACM, New York, 495--502.

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