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Jirí Kubalík

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2010 – today

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2018
[j7]
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Eduard Alibekov, Jirí Kubalík, Robert Babuska:
Policy derivation methods for critic-only reinforcement learning in continuous spaces. Eng. Appl. of AI 69: 178-187 (2018)
2017
[c37]
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  - conf/ijcci/KubalikDB17
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Jirí Kubalík, Erik Derner, Robert Babuska:
Enhanced Symbolic Regression Through Local Variable Transformations. IJCCI 2017: 91-100
2016
[j6]
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Jirí Kubalík, Eduard Alibekov, Jan Zegklitz, Robert Babuska:
Hybrid Single Node Genetic Programming for Symbolic Regression. Trans. Computational Collective Intelligence 24: 61-82 (2016)
[c36]
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Eduard Alibekov, Jirí Kubalík, Robert Babuska:
Symbolic method for deriving policy in reinforcement learning. CDC 2016: 2789-2795
2015
[c35]
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  - conf/gecco/HruskaK15
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Frantisek Hruska, Jirí Kubalík:
Selection Hyper-Heuristic Using a Portfolio of Derivative Heuristics. GECCO (Companion) 2015: 1401-1402
[c34]
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Jirí Kubalík, Robert Babuska:
An Improved Single Node Genetic Programming for Symbolic Regression. IJCCI (ECTA) 2015: 244-251
2014
[c33]
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  - conf/isda/KubalikS14
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Jirí Kubalík, Michal Snizek:
A novel evolutionary algorithm with indirect representation and extended nearest neighbor constructive procedure for solving routing problems. ISDA 2014: 156-161
[c32]
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  - conf/wise/KubalikPVV14
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Jirí Kubalík, Jaroslav Pokorný, Martin Vita, Peter Vojtás:
Generic Private Social Network for Knowledge Management. WISE Workshops 2014: 27-41
2013
[c31]
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  - conf/evoW/CernyK13
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Ján Cerný, Jirí Kubalík:
Co-evolutionary Approach to Design of Robotic Gait. EvoApplications 2013: 550-559
[c30]
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  - conf/gecco/MlejnekK13
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Jaromír Mlejnek, Jirí Kubalík:
Evolutionary hyperheuristic for capacitated vehicle routing problem. GECCO (Companion) 2013: 219-220
[c29]
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Ján Cerný, Jirí Kubalík:
Analysis of Co-evolutionary Approach for Robotic Gait Generation. IJCCI 2013: 37-46
2012
[j5]
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  - journals/ec/PosikK12
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Petr Posík, Jirí Kubalík:
Experimental Comparison of Six Population-Based Algorithms for Continuous Black Box Optimization. Evolutionary Computation 20(4): 483-508 (2012)
[c28]
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  - conf/adbis/MatousekKNV12
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Kamil Matousek, Jirí Kubalík, Martin Necaský, Peter Vojtás:
Exploiting Potential of the Professional Social Network Portal "SitIT". ADBIS Workshops 2012: 295-304
[c27]
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  - conf/ejc/KopeckyPVKMMNP12
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Michal Kopecky, Jaroslav Pokorný, Peter Vojtás, Jirí Kubalík, Kamil Matousek, Milos Maryska, Ota Novotný, Ladislav Peska:
Testing and Evaluating Software in a Social Network Creating Baseline Knowledge. EJC 2012: 127-141
[c26]
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Jirí Kubalík:
Hyper-Heuristic Based on Iterated Local Search Driven by Evolutionary Algorithm. EvoCOP 2012: 148-159
2011
[j4]
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  - journals/air/BuryanK11
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Petr Buryan, Jirí Kubalík:
Context-sensitive refinements for stochastic optimisation algorithms in inductive logic programming. Artif. Intell. Rev. 35(1): 19-36 (2011)
[j3]
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  - journals/asc/KremmelKB11
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Thomas Kremmel, Jirí Kubalík, Stefan Biffl:
Software project portfolio optimization with advanced multiobjective evolutionary algorithms. Appl. Soft Comput. 11(1): 1416-1426 (2011)
[c25]
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  - conf/cason/VojtasPNSMKNM11
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Peter Vojtás, Jaroslav Pokorný, Martin Necaský, Tomás Skopal, Kamil Matousek, Jirí Kubalík, Ota Novotný, Milos Maryska:
SoSIReČR - IT professional social network. CASoN 2011: 108-113
[c24]
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Jirí Kubalík:
Evolutionary-based iterative local search algorithm for the shortest common supersequence problem. GECCO 2011: 315-322
2010
[j2]
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  - journals/tsmc/KubalikTSS10
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Jirí Kubalík, Pavel Tichý, Radek Sindelár, Raymond J. Staron:
Clustering Methods for Agent Distribution Optimization. IEEE Trans. Systems, Man, and Cybernetics, Part C 40(1): 78-86 (2010)
[c23]
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  - conf/gecco/KubalikBW10
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Jirí Kubalík, Petr Buryan, Libor Wagner:
Solving the DNA fragment assembly problem efficiently using iterative optimization with evolved hypermutations. GECCO 2010: 213-214
[c22]
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Jirí Kubalík:
Efficient stochastic local search algorithm for solving the shortest common supersequence problem. GECCO 2010: 249-256
[c21]
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  - conf/gecco/BuryanK10
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Petr Buryan, Jirí Kubalík:
Context-sensitive refinements for stochasticoptimization algorithms in inductive logic programming. GECCO 2010: 1071-1072
[c20]
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  - conf/gecco/KremmelKB10
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Thomas Kremmel, Jirí Kubalík, Stefan Biffl:
Multiobjective evolutionary algorithm for software project portfolio optimization. GECCO 2010: 1389-1390
[c19]
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  - conf/gecco/Kubalik10a
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Jirí Kubalík:
Black-box optimization benchmarking of two variants of the POEMS algorithm on the noiseless testbed. GECCO (Companion) 2010: 1567-1574
[c18]
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  - conf/gecco/PosikK10
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Petr Posík, Jirí Kubalík:
Comparison of cauchy EDA and pPOEMS algorithms on the BBOB noiseless testbed. GECCO (Companion) 2010: 1703-1710

2000 – 2009

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2009
[c17]
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  - conf/gecco/Kubalik09
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Jirí Kubalík:
Solving the sorting network problem using iterative optimization with evolved hypermutations. GECCO 2009: 301-308
[c16]
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  - conf/gecco/Kubalik09a
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Jirí Kubalík:
Black-box optimization benchmarking of prototype optimization with evolved improvement steps for noiseless function testbed. GECCO (Companion) 2009: 2303-2308
[c15]
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  - conf/icannga/Kubalik09
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Jirí Kubalík:
Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps. ICANNGA 2009: 183-192
[c14]
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Petr Buryan, Jirí Kubalík, Katsumi Inoue:
Grammatical Concept Representation for Randomised Optimisation Algorithms in Relational Learning. ISDA 2009: 1450-1455
2008
[c13]
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  - conf/evoW/KubalikMB08
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Jirí Kubalík, Richard Mordinyi, Stefan Biffl:
Multiobjective Prototype Optimization with Evolved Improvement Steps. EvoCOP 2008: 218-229
2007
[c12]
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  - conf/IEEEares/KubalikM07
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Jirí Kubalík, Richard Mordinyi:
Optimizing Events Traffic in Event-based Systems by means of Evolutionary Algorithms. ARES 2007: 1101-1107
2006
[c11]
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  - conf/cec/Kubalik06
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Jirí Kubalík:
Real-Parameter Optimization by Iterative Prototype Optimization with Evolved Improvement Steps. IEEE Congress on Evolutionary Computation 2006: 1932-1938
[c10]
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  - conf/eurogp/KubalikF06
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Jirí Kubalík, Jan Faigl:
Iterative Prototype Optimisation with Evolved Improvement Steps. EuroGP 2006: 154-165
[c9]
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  - conf/ppsn/KubalikPH06
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Jirí Kubalík, Petr Posík, Jan Herold:
A Selecto-recombinative Genetic Algorithm with Continuous Chromosome Reconfiguration. PPSN 2006: 959-968
2005
[j1]
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  - journals/cmpb/KlemaKL05
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Jirí Kléma, Jirí Kubalík, Lenka Lhotská:
Optimized model tuning in medical systems. Computer Methods and Programs in Biomedicine 80(Supplement-1): S17-S28 (2005)
[c8]
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  - conf/eurogp/SuchyK05
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Jan Suchý, Jirí Kubalík:
Inducing Diverse Decision Forests with Genetic Programing. EuroGP 2005: 301-310
2004
[c7]
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  - conf/icaisc/KubalikKK04
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Jirí Kubalík, Jirí Kléma, Miroslav Kulich:
Application of Soft Computing Techniques to Rescue Operation Planning. ICAISC 2004: 897-902
[c6]
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  - conf/ifip5-3/RolloNKP04
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Milan Rollo, Petr Novák, Jirí Kubalík, Michal Pechoucek:
Alarm Root Cause Detection System. BASYS 2004: 109-116
[c5]
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  - conf/ifip5-3/KubalikJSLS04
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Jirí Kubalík, Marcel Jirina, Oldrich Starý, Lenka Lhotská, Jan Suchý:
Application of Soft Computing Techniques to Classification of Licensed Subjects. BASYS 2004: 481-488
2003
[c4]
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  - conf/eurogp/KubalikKR03
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Jirí Kubalík, Jan Koutník, Léon J. M. Rothkrantz:
Grammatical Evolution with Bidirectional Representation. EuroGP 2003: 354-363
2002
[c3]
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  - conf/cbms/KlemaKP02
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Jirí Kléma, Jirí Kubalík, Jiri Palous:
Optimized Model Tuning in Medical Systems. CBMS 2002: 59-64
[c2]
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Jirí Kubalík, Jirí Lazanský, Petr Zikl:
Layout Problem Optimization Using Genetic Algorithms. BASYS 2002: 493-500
[c1]
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  - conf/jcis/KubalikRL02
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Jirí Kubalík, Léon J. M. Rothkrantz, Jirí Lazanský:
Genetic Algorithm with Limited Convergence. JCIS 2002: 610-613

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