Prof. Bogdan Filipič, Ph.D.

• Contact information
• Research interests
• Membership and service
• Awards
• Selected bibliography

Contact information

Research interests

• Stochastic optimization
• Evolutionary computation
• Intelligent data analysis
• Applications of the above techniques in industrial process optimization, production scheduling and energy efficiency management

Membership and service

• Special session organizer: Metaheuristic Optimization, 13th International Symposium on Operations Research in Slovenia (SOR 2015), 23-25 September 2015, Bled, Slovenia
• General chair: 13th International Conference on Parallel Problem Solving from Nature (PPSN XIII), 13-17 September 2014, Ljubljana, Slovenia
• Program committee chair: International Conference on Bioinspired Optimization Methods and their Applications (BIOMA) 2004, 2006, 2008, 2010, 2012
• Program committee member: Genetic and Evolutionary Computation Conference (GECCO), Parallel Problem Solving from Nature (PPSN), International Conference on Evolutionary Computation Theory and Applications (ECTA), International Multiconference Information Society (IS)
• Editorial board member: Applied Intelligence, Journal of Computing and Information Technology
• Guest editor: International Journal of Innovative Computing and Applications, Special Issue on Advances in Bioinspired Computing, 2013, Vol. 5, No. 3
• Reviewer: IEEE Transactions on Evolutionary Computation, IEEE Transactions on Systems, Man and Cybernetics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Automation Science and Engineering, Information Sciences, Applied Soft Computing, Applied Intelligence, Engineering Applications of Artificial Intelligence, Computers in Industry, Central European Journal of Operations Research, Journal of Computing and Information Technology, Informatica, Journal of Mechanical Engineering, Kinesiologia Slovenica
• Cochair and coorganizer of postgraduate student workshops on Nature-Inspired Algorithms (AVN) held in Ljubljana and Maribor, Slovenia, since 2004
• Chair of the working group WG4 Optimization Methodologies, project COST 526: Automatic Process Optimization in Materials Technology (APOMAT), funded by the European Science Foundation, 2001-2005
• Executive board member, Slovenian Artificial Intelligence Society (SLAIS), 1992-1996 SLAIS secretary, 1996-1998 SLAIS chairman
• Member of IEEE Computer Society and Computational Intelligence Society (see also Slovenia Section IEEE)

Awards

• Silver award for excellence of creative industries for Pedius, a system for computer-aided restoration of wall paintings, 6th Slovenian Innovation Forum, Ljubljana, 2011 (with coauthors)
• Best presentation award at the Final COST 526 Working Group Meeting, WG Optimization Methodologies, Besançon, France, 2005
• Best presentation award at the First COST 526 Joint Working Group Meeting, WG Liquid-Solid Processing, Saint-Dié des Vosges, France, 2002
• Best poster award at PPSN VI, The Sixth International Conference on Parallel Problem Solving from Nature, Paris, France, 2000 (B. Filipič and J. Štrancar)
• B. Kidrič innovations prize for the development of the KRONOS timing and attendance data acquisition system, Ljubljana, 1990 (with coauthors)

Selected bibliography

TUŠAR, Tea, FILIPIČ, Bogdan. Visualization of Pareto front approximations in evolutionary multiobjective optimization: A critical review and the prosection method. IEEE Transactions on Evolutionary Computation, 2015, vol. 19, no. 2, pp. 225-245. (IEEE Xplore, Open Access)

MLAKAR, Miha, PETELIN, Dejan, TUŠAR, Tea, FILIPIČ, Bogdan. GP-DEMO: Differential evolution for multiobjective optimization based on Gaussian process models. European Journal of Operational Research, 2015, vol. 243, no. 2, pp. 347-361. (ScienceDirect)

MLAKAR, Miha, TUŠAR, Tea, FILIPIČ, Bogdan. Comparing solutions under uncertainty in multiobjective optimization. Mathematical Problems in Engineering, vol. 2014, Article ID 817964, 10 pages, doi: doi:10.1155/2014/817964. (Hindawi, Open Access)

TUŠAR, Tea, FILIPIČ, Bogdan. Visualizing exact and approximated 3D empirical attainment functions. Mathematical Problems in Engineering, vol. 2014, Article ID 569346, 18 pages, doi: 10.1155/2014/569346. (Hindawi, Open Access)

DOVGAN, Erik, JAVORSKI, Matija, TUŠAR, Tea, GAMS, Matjaž, FILIPIČ, Bogdan. Discovering driving strategies with a multiobjective optimization algorithm. Applied Soft Computing, 2014, vol. 16, no. 1, pp. 50-62. (ScienceDirect)

DEPOLLI, Matjaž, TROBEC, Roman, FILIPIČ, Bogdan. Asynchronous master-slave parallelization of differential evolution for multiobjective optimization. Evolutionary Computation, 2013, vol. 21, no. 2, pp. 261-291. (MIT Press Journals)

DOVGAN, Erik, JAVORSKI, Matija, TUŠAR, Tea, GAMS, Matjaž, FILIPIČ, Bogdan. Comparing a multiobjective optimization algorithm for discovering driving strategies with humans. Expert Systems with Applications, 2013, vol. 40, no. 7, pp. 2687-2695. (ScienceDirect)

FISTER, Iztok, MERNIK, Marjan, FILIPIČ, Bogdan. Graph 3-coloring with a hybrid self-adaptive evolutionary algorithm. Computational Optimization and Applications, 2013, vol. 54, no. 3, pp. 741-770. (SpringerLink)

KOROŠEC, Peter, ŠILC, Jurij, FILIPIČ, Bogdan. The differential ant-stigmergy algorithm. Information Sciences, 2012, vol. 192, no. 1, pp. 82-97. (ScienceDirect)

ZUPANC, Jernej, FILIPIČ, Bogdan. Evolutionary synthesis of cellular automata. CIT, Journal of Computing and Information Technology, 2011, vol. 19, no. 2, pp. 105-112.

FISTER, Iztok, MERNIK, Marjan, FILIPIČ, Bogdan. A hybrid self-adaptive evolutionary algorithm for marker optimization in the clothing industry. Applied Soft Computing, 2010, vol. 10, no. 2, pp. 409-422.

VALENTINČIČ, Joško, FILIPIČ, Bogdan, JUNKAR, Mihael. Machine learning induction of a model for online parameter selection in EDM rough machining. The International Journal of Advanced Manufacturing Technology, 2009, vol. 41, no. 9-10, pp. 865-870.

FISTER, Iztok, MERNIK, Marjan, FILIPIČ, Bogdan. Optimization of markers in clothing industry. Engineering Applicationsof Artificial Intelligence, 2008, vol. 21, no. 4, pp. 669-678.

FILIPIČ, Bogdan, TUŠAR, Tea, LAITINEN, Erkki. Preliminary numerical experiments in multiobjective optimization of a metallurgical production process. Informatica, 2007, vol. 31, no. 2, pp. 233-240.

TUŠAR, Tea, KOROŠEC, Peter, PAPA, Gregor, FILIPIČ, Bogdan, ŠILC, Jurij. A comparative study of stochastic optimization methods in electric motor design. Applied Intelligence, 2007, vol. 27, no. 2, pp. 101-111.

BRATKO, Andrej, CORMACK, Gordon V., FILIPIČ, Bogdan, LYNAM, Thomas R., ZUPAN, Blaž. Spam filtering using statistical data compression models. Journal of Machine Learning Research, 2006, vol. 7, pp. 2673-2698.

BRATKO, Andrej, FILIPIČ, Bogdan. Exploiting structural information for semi-structured document categorization. Information Processing and Management, 2006, vol. 42, no. 3, pp. 679-694.

GANTAR, Gašper, KUZMAN, Karl, FILIPIČ, Bogdan. Increasing the stability of the deep drawing process by simulation-based optimization. Journal of Materials Processing Technology, 2005, vol. 164/165, pp. 1343-1350.

FILIPIČ, Bogdan, LAITINEN, Erkki. Model-based tuning of process parameters for steady-state steel casting. Informatica, 2005, vol. 29, no. 4, pp. 491-496.

KAVALENKA, Aleh A., FILIPIČ, Bogdan, HEMMINGA, Marcus A., ŠTRANCAR, Janez. Speeding up a genetic algorithm for EPR-based spin label characterization of biosystem complexity. Journal of Chemical Information and Modeling, 2005, vol. 45, no. 6, pp. 1628-1635.

ŠTRANCAR, Janez, KOKLIČ, Tilen, ARSOV, Zoran, FILIPIČ, Bogdan, STOPAR, David, HEMMINGA, Marcus A. Spin label EPR-based characterization of biosystem complexity. Journal of Chemical Information and Modeling, 2005, vol. 45, no. 2, pp. 394-406.

FILIPIČ, Bogdan. Optimizing production schedules and energy consumption with an evolutionary algorithm. Informatica, 2004, vol. 28, no. 4, pp. 353-357.

URSEM, Rasmus K., FILIPIČ, Bogdan, KRINK, Thiemo. Exploring the performance of an evolutionary algorithm for greenhouse control. CIT, Journal of Computing and Information Technology, 2002, vol. 10, no. 3, pp. 195-201.

FILIPIČ, Bogdan, ŠTRANCAR, Janez. Tuning EPR spectral parameters with a genetic algorithm. Applied Soft Computing, 2001, vol. 1, no. 1, pp. 83-90.

FILIPIČ, Bogdan, ŽUN, Iztok, PERPAR, Matjaž. Skill-based interpretation of noisy probe signals enhanced with a genetic algorithm. International Journal of Human-Computer Studies, 2000, vol. 53, no. 4, pp. 517-535.

FILIPIČ, Bogdan, JUNKAR, Mihael. Using inductive machine learning to support decision making in machining processes. Computers in Industry, 2000, vol. 43, no. 1, pp. 31-41.

FILIPIČ, Bogdan, URBANČIČ, Tanja, KRIŽMAN, Viljem. A combined machine learning and genetic algorithm approach to controller design. Engineering Applications of Artificial Intelligence, 1999, vol. 12, no. 4, pp. 401-409.

ŽUN, Iztok, FILIPIČ, Bogdan, PERPAR, Matjaž, BOMBAČ, Andrej. Phase discrimination in void fraction measurements via genetic algorithms. Review of Scientific Instruments, 1995, vol. 66, no. 10, pp. 5055-5064.

VARŠEK, Alen, URBANČIČ, Tanja, FILIPIČ, Bogdan. Genetic algorithms in controller design and tuning. IEEE Transactions on Systems, Man and Cybernetics, 1993, vol. 23, no. 5, pp. 1330-1339.

JUNKAR, Mihael, FILIPIČ, Bogdan, BRATKO, Ivan. Identifying the grinding process by means of inductive machine learning. Computers in Industry, 1991, vol. 17, no. 2/3, pp. 147-153.