Person


Member of:
Lidi s celokatederní působností
Current Position:
- Canceled -
Current Projects:
2009-2012: Social network of IT professionals (SoSIReCR - Socialni sit informatiku v regionech CR), project from the Education for Competitiveness Operational Programme supported by the European Social Fund, investigator (CTU in Prague)

2006-2010: CzechVMXT: Czech IT Project Process Improvement for Dependable-Systems Research, EU 6FP - Marie Curie Transfer of Knowledge Project, team member


Teaching:
Bio Inspired Algorithms, Evolutionary Optimization Algorithms

Education:

Ph.D. in Artificial Intelligence and Biocybernetics at Czech Technical University (2001), thesis on "On Improving of the Efficiency of Genetic Algorithms" (supervision: Dr. Jiri Lazansky).

MSc. (Ing.) in Computer Science at Czech Technical University (1994), diploma thesis on "Scheduling by Means of Genetic Algorithms" (supervision: Dr. Jiri Lazansky)

Publications:
Journal papers

Posik, P. and Kubalik, J.: Experimental Comparison of Six Population-Based Algorithms for Continuous Black Box Optimization. Evolutionary Computation 20(4), pp. 483-508, doi:10.1162/EVCO_a_00083, 2012. (online)

Kremmel, T., Kubalik, J., Biffl, S.: Software Project Portfolio Optimization with Advanced Multiobjective Evolutionary Algorithms. Applied Soft Computing. 2011, vol. 11, no. 1, p. 1416-1426. ISSN 1568-4946. SoftwareProjectPortfolioOptimization (pdf, online)

Kubalik, J., Tichy, P., Sindelar, R., Staron, R.J.: Clustering Methods for Agent Distribution Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Part C. 2010, vol. 40, no. 1, p. 78-86. ISSN 1094-6977. (pdf, online)

Buryan, P. and Kubalik, J.: Context-Sensitive Refinements for Stochastic Optimisation Algorithms in Inductive Logic Programming . Artificial Intelligence Review. 2011, vol. 35, no. 1, p. 19-36. ISSN 0269-2821. (online)


Conference papers

Cerny, J. and Kubalik, J.: Analysis of Co-evolutionary Approach for Robotic Gait Generation. In Proceedings of the 5th International Joint Conference on Computational Intelligence. Porto: SciTePress - Science and Technology Publications, 2013, p. 37-46. ISBN 978-989-8565-77-8. (pdf)

Cerny, J. and Kubalik, J.: Co-evolutionary Approach to Design of Robotic Gait. In Applications of Evolutionary Computation. Heidelberg: Springer, 2013, p. 550-559. ISSN 0302-9743.ISBN 978-3-642-37191-2. (pdf, online)

Mlejnek, J. and Kubalik, J.: Evolutionary hyperheuristic for capacitated vehicle routing problem. In GECCO (Companion) 2013: pp. 219-220, (pdf, full version, online)

Kubalik, J.: Hyper-Heuristic Based on Iterated Local Search Driven by Evolutionary Algorithm. In EvoCOP 2012, ISBN: 978-3-642-29123-4, pp. 148-159, 2012. (pdf, online)

Kubalik, J.: Efficient stochastic local search algorithm for solving the shortest common supersequence problem. In Genetic and evolutionary computation. New York: ACM, 2010, p. 249-256. ISBN 978-1-4503-0073-5. (pdf, online)

Kubalik, J.: Evolutionary-Based Iterative Local Search Algorithm for the Shortest Common Supersequence Problem. In Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation [CD-ROM]. New York: ACM, 2011, p. 315-322. ISBN 978-1-4503-0557-0. (pdf, online)

Kubalik, J. - Buryan, P. - Wagner, L.: Solving the DNA Fragment Assembly Problem Efficiently Using Iterative Optimization with Evolved Hypermutations. In Genetic and Evolutionary Computation Conference. New York: ACM, 2010, p. 213-214. ISBN 978-1-4503-0073-5. (pdf, online)

Koutnik, J. - Kubalik, J.: Structure Aware Two Point Crossover for Grammatical Evolution. In MENDEL 2009 - 15th International Conference on Soft Computing. Brno: Brno University of Technology, 2009, p. 49-54. ISBN 978-80-214-3884-2.

Kubalik, J.: Solving the Sorting Network Problem Using Iterative Optimization with Evolved Hypermutations. In Genetic and Evolutionary Computation Conference 2009. New York: ACM, 2009, p. 301-308. ISBN 978-1-60558-325-9. (pdf, online)

Kubalik, J. - Mordinyi, R. - Biffl, S.: Multiobjective Prototype Optimization with Evolved Improvement Steps. In Evolutionary Computation in Combinatorial Optimization. Heidelberg: Springer, 2008, p. 218-229. ISBN 978-3-540-78603-0. (pdf, online)

Kubalik, J., Faigl, J.: Iterative Prototype Optimisation with Evolved Improvement Steps. 9th European Conferenceo Genetic Programming EuroGP 2006. Heidelberg: Springer, 2006, s. 154-165. ISBN 3-540-33143-3

Kubalik, J., Posik, P., Herold, J.: A Selecto-recombinative Genetic Algorithm with Continuous Chromosome Reconfiguration. Parallel Problem Solving from Nature - PPSN-IX. Heidelberg: Springer, 2006, s. 959-968. ISBN 3-540-38990-3

Kubalik, J., Rothkrantz, L.J.M., Lazansky, J.: Genetic Algorithm with Limited Convergence. In Grana, M., Duro, R., d'Anjou, A., and Wang, P.P., (Eds.), Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations. Springer-Verlag, ISBN: 1-85233-866-0, pp. 216-235. 2005.

Klema, J., Kubalik, J., Lhotska, L.: Optimized Model Tuning in Medical Systems. Computer Methods and Programs in Biomedicine. 2005, vol. 80, no. 3, s. 17-28. ISSN 0169-2607

Kubalik, J.: Using Genetic Algorithms with Real-coded Binary Representation for Solving Non-stationary Problems. In Adaptive and Natural Computing Algoritms - Proceedings of the International Conference in Coimbra. Wien: Springer, 2005, s. 458-461. ISBN 3-211-24934-6

Kubalik, J.: Binary or Real? Real-coded Binary!. In proceedings of the 5th International Conference on Recent Advances in Soft Computing 2004, Nottingham, United Kingdom, 16 -18 December 2004.



Responsible person: Kristina Lukešová