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Boris Naujoks
Personal bibliography for the period 2018-2023
2018
1.
BREIDERHOFF, Beate, NAUJOKS, Boris, BARTZ-BEIELSTEIN, Thomas, FILIPIČ, Bogdan. Expensive
optimisation exemplified by ECG simulator parameter tuning. In: FILIPIČ, Bogdan (ed.),
BARTZ-BEIELSTEIN, Thomas (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. Ljubljana: Institut "Jožef Stefan", 2018. Str. 15-18. Informacijska družba. ISBN
978-961-264-138-2. ISSN 2630-371X. https://is.ijs.si/archive/proceedings/2018/files/Zbornik%20-%20D.pdf. [COBISS.SI-ID 31875111]
2019
2.
VOLZ, Vanessa, NAUJOKS, Boris, KERSCHKE, Pascal, TUŠAR, Tea. Single- and multi-objective
game-benchmark for evolutionary algorithms. In: LÓPEZ-IBÁÑEZ, Manuel (ed.). GECCO '19 : Proceedings of the Genetic and Evolutionary Computation Conference Prague,
Czech Republic - July 13 - 17, 2019. New York: ACM = Association for Computing Machinery, 2019. Str. 647-655. ISBN 978-1-4503-6111-8.
https://dl.acm.org/citation.cfm?id=3321805, DOI: 10.1145/3321707.3321805. [COBISS.SI-ID 32547623]
2020
3.
STORK, Jörg, FRIESE, Martina, ZAEFFERER, Martin, BARTZ-BEIELSTEIN, Thomas, FISCHBACH,
Andreas, BREIDERHOFF, Beate, NAUJOKS, Boris, TUŠAR, Tea. Open issues in surrogate-assisted
optimization. In: BARTZ-BEIELSTEIN, Thomas (ed.), FILIPIČ, Bogdan (ed.), KOROŠEC,
Peter (ed.). High-performance simulation-based optimization. Cham: Springer, cop. 2020. Str. 225-244. Studies in computational intelligence,
vol. 833. ISBN 978-3-030-18763-7, ISBN 978-3-030-18764-4. ISSN 1860-949X. [COBISS.SI-ID
32412967]
4.
IRAWAN, Dani, ANTONIOU, Margarita, NAUJOKS, Boris, PAPA, Gregor. Refining the CC-RDG3
algorithm with increasing population scheme and persistent covariance matrix. In:
FILIPIČ, Bogdan (ed.), MINISCI, Edmondo (ed.), VASILE, Massimiliano (ed.). Bioinspired optimization methods and their applications : 9th International Conference,
BIOMA 2020, Brussels, Belgium, November 19-20, 2020. Cham: Springer, 2020. Lncs 12438, str. 69-83. Lecture notes in computer science,
LNCS 12438. ISBN 978-3-030-63709-5, ISBN 978-3-030-63710-1. ISSN 0302-9743. DOI: 10.1007/978-3-030-63710-1_6. [COBISS.SI-ID 38322179]
5.
BLOM, Koen van der, DEIST, Timo M., TUŠAR, Tea, MARCHI, Mariapia, NOJIMA, Yusuke,
OYAMA, Akira, VOLZ, Vanessa, NAUJOKS, Boris. Towards realistic optimization benchmarks
: a questionnaire on the properties of real-world problems. In: GECCO '20 Proceedings of the 2020 Genetic and Evolutionary Computation Conference
Companion, July 2020, Cancún, Mexico. New York: ACM = Association for Computing Machinery, 2020. Str. 293-294. ISBN 978-1-4503-7127-8.
https://dl.acm.org/doi/10.1145/3377929.3389974. [COBISS.SI-ID 25684995]
2021
6.
VODOPIJA, Aljoša, BREIDERHOFF, Beate, NAUJOKS, Boris, FILIPIČ, Bogdan. Design of cyclone
dust separators : a constrained multiobjective optimization perspective. In: 2021 IEEE Congress on Evolutionary Computation, IEEE CEC 2021, June 28th and July
1st 2021, Kraków, Poland. Piscataway: IEEE = Institute of Electrical and Electronics Engineers, 2021. Str.
1983-1990. ISBN 978-1-7281-8392-3. DOI: 10.1109/CEC45853.2021.9504991. [COBISS.SI-ID 73917187]
2023
7.
BLOM, Koen van der, DEIST, Timo M., VOLZ, Vanessa, MARCHI, Mariapia, NOJIMA, Yusuke,
NAUJOKS, Boris, OYAMA, Akira, TUŠAR, Tea. Identifying properties of real-world optimisation
problems through a questionnaire. In: BROCKHOFF, Dimo (ed.). Many-criteria optimization and decision analysis : state-of-the-art, present challenges
and future perspectives. Cham: Springer Nature, cop. 2023. Str. 59-80, ilustr. Natural Computing Series.
ISBN 978-3-031-25263-1. ISSN 1619-7127. https://link.springer.com/chapter/10.1007/978-3-031-25263-1_3, DOI: 10.1007/978-3-031-25263-1_3. [COBISS.SI-ID 160922883]
8.
VOLZ, Vanessa, NAUJOKS, Boris, KERSCHKE, Pascal, TUŠAR, Tea. Tools for landscape analysis
of optimisation problems in Procedural Content Generation for games. Applied soft computing. [Online ed.]. Mar. 2023, vol. 136, [article] no. 110121, str. 1-14, ilustr. ISSN
1872-9681. https://www.sciencedirect.com/science/article/pii/S1568494623001394?via%3Dihub, DiRROS - Digitalni repozitorij raziskovalnih organizacij Slovenije, DOI: 10.1016/j.asoc.2023.110121. [COBISS.SI-ID 141799683]