Computational intelligence

 

Computational intelligence is a study of stochastic search, optimization and learning methods, inspired by natural systems. Research in this area at the JSI Department of Intelligent Systems focuses on evolutionary computation and optimization. We study evolutionary algorithms for multiobjective optimization, their enhancement through parallel computing and surrogate models, constraint handling in multiobjective optimization, visualization of optimization results, and optimization algorithm benchmarking.

Our research findings and developed algorithms represent a basis for applications in diverse areas including:

  • Engineering design
  • Manufacturing
  • Scheduling
  • Energy efficiency
  • Product quality control
  • Transportation
  • Space exploration
  • Epidemiology

Contact Bogdan Filipič

CURRENT PROJECTS

SEEDS

SEEDS

T. Tušar The main objectives of the SEEDS project (Cost-effective and replicable RES-integrated electrified heating and cooling systems for improved...

Artificial intelligence and intelligent systems

Artificial intelligence and intelligent systems

V. Janko, M. Gams, B. Filipič, T. Šef, M. Luštrek, T. Tušar, A. Gradišek, E. Dovgan, M. Mlakar, J. Krivec,...

Characterization of constrained continuous multiobjective optimization problems

Characterization of constrained continuous multiobjective optimization problems

A. Vodopija (Supervised by B. Filipič) Within the doctoral research project, we aim at characterizing constrained continuous multiobjective optimization problems...

Constrained multiobjective optimization based on problem landscape analysis

Constrained multiobjective optimization based on problem landscape analysis

B. Filipič, T. Tušar, A. Vodopija, A. Andova

PAST PROJECTS

Simulation-based optimization of cogging torque in electric motor design

Simulation-based optimization of cogging torque in electric motor design

B. Filipič, T. Tušar, A. Vodopija, J. Cork This applied project deals with simulation-based optimization in electric motor design. The...

DIH4AI-Senso4S-E9

DIH4AI-Senso4S-E9

T. Tušar, A. Vodopija We collaborated with the Department of Knowledge Technologies and the Senso4s d.o.o. company in designing a...

Intelligent and environmentally friendly scheduling of field work – MF-Scheduler

Intelligent and environmentally friendly scheduling of field work – MF-Scheduler

B. Filipič, T. Tušar, A. Vodopija Scheduling of field work entails solving a demanding routing and scheduling problem. We assist...

Multi-objective optimization for artificial intelligence systems in industry

Multi-objective optimization for artificial intelligence systems in industry

B. Filipič, T. Tušar, A. Vodopija This is a bilateral, Slovenian-German project carried out together with the Institute for Data...

Machine vision quality control of molded plastic parts

Machine vision quality control of molded plastic parts

B. Filipič, E. Dovgan A project in collaboration with the MPT company

Improved planning of manufacturing processes for individualized tools

Improved planning of manufacturing processes for individualized tools

B. Filipič, E. Dovgan A project in collaboration with the Plamtex INT company

1 2 3 4

EVENTS

GECCO Job Market

GECCO Job Market

T. Tušar, B. Naujoks The Job Market is a GECCO event (organized every year since 2017) where people offering jobs...

Tutorial on Benchmarking Multiobjective Optimizers 2.0

Tutorial on Benchmarking Multiobjective Optimizers 2.0

D. Brockhoff, T. Tušar In this tutorial, we discuss the past and future of benchmarking multiobjective optimizers. In particular, we...

Tutorial on constraint handling in mutliobjective optimization

Tutorial on constraint handling in mutliobjective optimization

B. Filipič, A. Vodopija This tutorial provides an overview of the state of the art in constraint handling in multiobjective...

Tutorial on Visualization in Multiobjective Optimization

Tutorial on Visualization in Multiobjective Optimization

B. Filipič, T. Tušar This tutorial provides an overview of representative methods used in multiobjective optimization for visualizing: (1) individual...

Tutorial on Deploying Evolutionary Computation in Industry: Challenges and Lessons Learned

Tutorial on Deploying Evolutionary Computation in Industry: Challenges and Lessons Learned

B. Filipič This tutorial presents the challenges faced and lessons learned in designing evolutionary algorithms for industrial optimization problems that...

13th International Conference on Parallel Problem Solving from Nature

13th International Conference on Parallel Problem Solving from Nature

B. Filipič, T. Tušar The 13th International Conference on Parallel Problem Solving from Nature, PPSN 2014, was co-organized by the...

PEOPLE

Prof. Bogdan Filipič

Computational Intelligence Head

+386 1 477 3352

Andrejaana Andova, M.Sc.

Computational Intelligence

+386 1 477 3035

Jordan Cork, B.Sc.

Computational Intelligence

+386 1 477 3564

Dr. Tea Tušar

Computational Intelligence

+386 1 477 3462

Aljoša Vodopija, M.Sc.

Computational Intelligence

PUBLICATIONS

67 entries « 2 of 2 »

2018

Conference Papers

Aljoša Vodopija, Tea Tušar, Bogdan Filipič

Comparing black-box differential evolution and classic differential evolution Inproceedings

In: GECCO 2018, the Genetic and Evolutionary Computation Conference Companion a recombination of the 27th International Conference on Genetic Algorithms (ICGA) and the 23rd Annual Genetic Programming Conference (GP), July 15th - 19th 2018, Kyoto, Japan, pp. str. 1537-1544, ACM = Association for Computing Machinery, New York, 2018.

BibTeX | Links:

Gašper Slapničar, Andrejaana Andova, Erik Dovgan, Mitja Luštrek

Reconstructing PPG signal from video recordings Inproceedings

In: Mitja Luštrek, Rok Piltaver, Matjaž Gams (Ed.): Slovenska konferenca o umetni inteligenci : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8.-12. oktober 2018, Ljubljana, Slovenia : zvezek A = Slovenian Conference on Artificial Intelligence : proceedings of the 21st International Multiconference Information Society - IS 2018, 8-12 October, 2018, [Ljubljana, Slovenia] : volume A, pp. str. 9-12, Institut "Jožef Stefan", Ljubljana, 2018.

BibTeX

Erik Dovgan, Jaka Sodnik, Bogdan Filipič

Optimization of end-to-end deep learning for obtaining human-like driving models Inproceedings

In: Bogdan Filipič, Thomas Bartz-Beielstein (Ed.): Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8.-12. oktober 2018, Ljubljana, Slovenia : zvezek D = International Conference on High-Performance Optimization in Industry, HPOI 2018 : proceedings of the 21st International Multiconference Information Society - IS 2018, 8-12 October, 2018, [Ljubljana, Slovenia] : volume D, pp. str. 27-30, Institut "Jožef Stefan", Ljubljana, 2018.

BibTeX

Taishi Ito, Miyako Sagawa, Hernan Aguirre, Tanaka Kiyoshi, Bogdan Filipič, Arnaud Liefooghe, Bilel Derbel, Sebastien Verel

Selection of variables for recombination on an optimization problem with constraints Inproceedings

In: 12th Symposium on Evolutionary Computation 2018, 8-9 December 2018, Fukuoka City, Japan : proceedings, pp. str. 262-269, Japanese Society of Evolutionary Computation, Tokyo, 2018.

BibTeX

Bogdan Filipič, Tea Tušar

A taxonomy of methods for visualizing Pareto front approximations Inproceedings

In: GECCO 2018, the Genetic and Evolutionary Computation Conference [a recombination of the 27th International Conference on Genetic Algorithms (ICGA) and the 23rd Annual Genetic Programming Conference (GP)], July 15th - 19th 2018, Kyoto, Japan, pp. str. 649-656, ACM = Association for Computing Machinery, New York, 2018.

BibTeX | Links:

Beate Breiderhoff, Boris Naujoks, Thomas Bartz-Beielstein, Bogdan Filipič

Expensive optimisation exemplified by ECG simulator parameter tuning Inproceedings

In: Bogdan Filipič, Thomas Bartz-Beielstein (Ed.): Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8.-12. oktober 2018, Ljubljana, Slovenia : zvezek D = International Conference on High-Performance Optimization in Industry, HPOI 2018 : proceedings of the 21st International Multiconference Information Society - IS 2018, 8-12 October, 2018, [Ljubljana, Slovenia] : volume D, pp. str. 15-18, Institut "Jožef Stefan", Ljubljana, 2018.

BibTeX

Bogdan Filipič, Matjaž Depolli, Jernej Zupančič, Jan Gmys, Maxime Gobert, Nouredine Melab, Daniel Tuyttens

ECG simulator tuning : a parallel multiobjective optimization approach Inproceedings

In: Proceedings OLA' 2018, pp. str. 25-28, s. n.], [S. l., 2018.

BibTeX

Aljoša Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipič

Model-based multiobjective optimization of elevator group control Inproceedings

In: Bogdan Filipič, Thomas Bartz-Beielstein (Ed.): Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8.-12. oktober 2018, Ljubljana, Slovenia : zvezek D = International Conference on High-Performance Optimization in Industry, HPOI 2018 : proceedings of the 21st International Multiconference Information Society - IS 2018, 8-12 October, 2018, [Ljubljana, Slovenia] : volume D, pp. str. 43-46, Institut "Jožef Stefan", Ljubljana, 2018.

BibTeX

Tea Tušar

On using real-world problems for benchmarking multiobjective optimization algorithms Inproceedings

In: Bogdan Filipič, Thomas Bartz-Beielstein (Ed.): Mednarodna konferenca o visokozmogljivi optimizaciji v industriji, HPOI 2018 : zbornik 21. mednarodne multikonference Informacijska družba - IS 2018, 8.-12. oktober 2018, Ljubljana, Slovenia : zvezek D = International Conference on High-Performance Optimization in Industry, HPOI 2018 : proceedings of the 21st International Multiconference Information Society - IS 2018, 8-12 October, 2018, [Ljubljana, Slovenia] : volume D, pp. str. 7-10, Institut "Jožef Stefan", Ljubljana, 2018.

BibTeX

2017

Journal Articles

Tea Tušar, Klemen Gantar, Valentin Koblar, Bernard Ženko, Bogdan Filipič

A study of overfitting in optimization of a manufacturing quality control procedure Journal Article

In: Applied soft computing, vol. vol. 59, pp. str. 77-87, 2017.

BibTeX | Links:

Conference Papers

Tea Tušar, Nikolaus Hansen, Dimo Brockhoff

Anytime benchmarking of budget-dependent algorithms with the COCO platform Inproceedings

In: Mitja Luštrek, Rok Piltaver, Matjaž Gams (Ed.): Slovenska konferenca o umetni inteligenci : zbornik 20. mednarodne multikonference Informacijska družba - IS 2017, 9.-13. oktober 2017, [Ljubljana, Slovenia] : zvezek A = Slovenian Conference on Artificial Intelligence : proceedings of the 20th International Multiconference Information Society - IS 2017, 9th-13th October, 2017, Ljubljana, Slovenia : volume A, pp. str. 47-50, Institut Jožef Stefan, Ljubljana, 2017.

BibTeX

Eric Medvet, Tea Tušar

The DU map : a visualization to gain insights into genotype-phenotype mapping and diversity Inproceedings

In: GECCO'17 companion : proceeding of the 2017 on Genetic and Evolutionary Computation Conference Companion, July 15-19, 2017 Berlin, Germany, pp. str. 1705-1712, ACM = Association for Computing Machinery, New York, 2017.

BibTeX | Links:

Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tušar

Quantitative performance assessment of multiobjective optimizers : the average runtime attainment function Inproceedings

In: Heike Trautmann (Ed.): Evolutionary multi-criterion optimization : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017 : proceedings, pp. str. 103-119, Springer, Cham, 2017.

BibTeX

Erik Dovgan, Jaka Sodnik, Ivan Bratko, Bogdan Filipič

Multiobjective discovery of human-like driving strategies Inproceedings

In: GECCO'17 companion : proceeding of the 2017 on Genetic and Evolutionary Computation Conference Companion, July 15-19, 2017 Berlin, Germany, pp. str. 1319-1323, ACM = Association for Computing Machinery, New York, 2017.

BibTeX | Links:

Erik Dovgan, Jaka Sodnik, Ivan Bratko, Bogdan Filipič

Optimiranje časa in porabe goriva v modelih človeške vožnje Inproceedings

In: Mitja Luštrek, Rok Piltaver, Matjaž Gams (Ed.): Slovenska konferenca o umetni inteligenci : zbornik 20. mednarodne multikonference Informacijska družba - IS 2017, 9.-13. oktober 2017, [Ljubljana, Slovenia] : zvezek A = Slovenian Conference on Artificial Intelligence : proceedings of the 20th International Multiconference Information Society - IS 2017, 9th-13th October, 2017, Ljubljana, Slovenia : volume A, pp. str. 35-38, Institut Jožef Stefan, Ljubljana, 2017.

BibTeX

Marko Bohanec, Erik Dovgan, Pavel Maslov, Aljoša Vodopija, Mitja Luštrek, Paolo Emilio Puddu, Michele Schiariti, Maria Constanza Ciancarelli, Anneleen Baert, Sofie Pardaens, Els Clays

Designing a personal decision support system for congestive heart failure management Inproceedings

In: Mitja Luštrek, Rok Piltaver, Matjaž Gams (Ed.): Slovenska konferenca o umetni inteligenci : zbornik 20. mednarodne multikonference Informacijska družba - IS 2017, 9.-13. oktober 2017, [Ljubljana, Slovenia] : zvezek A = Slovenian Conference on Artificial Intelligence : proceedings of the 20th International Multiconference Information Society - IS 2017, 9th-13th October, 2017, Ljubljana, Slovenia : volume A, pp. str. 67-70, Institut Jožef Stefan, Ljubljana, 2017.

BibTeX

Aljoša Vodopija, Miha Mlakar, Mitja Luštrek

Predictive models to improve the wellbeing of heart-failure patients Inproceedings

In: Workshop on advanced predictive model in healthcare, pp. 10 str., s. l.], [S. l., 2017.

BibTeX

67 entries « 2 of 2 »