Skip to main content
Top

2024 | OriginalPaper | Chapter

A Racing Approach: The Evolution of Racing Techniques, A Systematic Literature Review

Authors : Hugo Silva, André S. Santos, Leonilde R. Varela, Magdalena Diering, Khrystyna Berladir

Published in: Advances in Manufacturing IV

Publisher: Springer Nature Switzerland

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Selecting the right values for an algorithm’s parameters usually is a difficult, critical, and time-intensive endeavor. Though parameters can be traditionally adjusted in an empirical way, recent research indicates that automated tuning methods can frequently identify superior parameter configurations. In this sense, Racing Techniques emerge as a method of tuning hyperparameters and finding the best configurations for an algorithm. It is a time and resource efficient method. One of the more explored techniques in racing is the F-Race.ones. This work is a systematic literature review. The first section provides the context surrounding Racing Techniques. The second section explores the literature currently available on overall Racing Techniques and F-race, introducing all the essential concepts. The third section presents the research problem. The fourth section relates case studies of other works, being complemented by a bibliometric review that shows the growth of the concepts presented. The fifth and last section completes the work with the future paths for Racing Techniques, where opportunities arise in different fields of study, and provides the conclusions drawn.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference van Rijn, J.N., Holmes, G., Pfahringer, B., Vanschoren, J.: Algorithm selection on data streams. In: Džeroski, S., Panov, P., Kocev, D., Todorovski, L. (eds.) Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia, 8–10 October 2014, Proceedings 17, DS 2014. LNCS, vol. 8777, pp. 325–336. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11812-3_28 van Rijn, J.N., Holmes, G., Pfahringer, B., Vanschoren, J.: Algorithm selection on data streams. In: Džeroski, S., Panov, P., Kocev, D., Todorovski, L. (eds.) Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia, 8–10 October 2014, Proceedings 17, DS 2014. LNCS, vol. 8777, pp. 325–336. Springer, Cham (2014). https://​doi.​org/​10.​1007/​978-3-319-11812-3_​28
2.
go back to reference Adenso-Diaz, B., Laguna, M.: Fine-tuning of algorithms using fractional experimental designs and local search. Oper. Res. 54(1), 99–114 (2006)CrossRef Adenso-Diaz, B., Laguna, M.: Fine-tuning of algorithms using fractional experimental designs and local search. Oper. Res. 54(1), 99–114 (2006)CrossRef
4.
go back to reference Becker, S., Gottlieb, J., Stützle, T.: Applications of racing algorithms: an industrial perspective. In: Talbi, E.G., Liardet, P., Collet, P., Lutton, E., Schoenauer, M. (eds.) Artificial Evolution, EA 2005. LNCS, vol. 3871, pp. 271–283. Springer, Cham (2005). https://doi.org/10.1007/11740698_24 Becker, S., Gottlieb, J., Stützle, T.: Applications of racing algorithms: an industrial perspective. In: Talbi, E.G., Liardet, P., Collet, P., Lutton, E., Schoenauer, M. (eds.) Artificial Evolution, EA 2005. LNCS, vol. 3871, pp. 271–283. Springer, Cham (2005). https://​doi.​org/​10.​1007/​11740698_​24
6.
go back to reference Klazar, R., Engelbrecht, A.P.: Parameter optimization by means of statistical quality guides in F-Race. In: 2014 IEEE Congress on Evolutionary Computation (CEC), pp. 2547–2552. IEEE (2014) Klazar, R., Engelbrecht, A.P.: Parameter optimization by means of statistical quality guides in F-Race. In: 2014 IEEE Congress on Evolutionary Computation (CEC), pp. 2547–2552. IEEE (2014)
7.
go back to reference Fisher, M.J., Marshall, A.P.: Understanding descriptive statistics. Aust. Crit. Care 22(2), 93–97 (2009)CrossRef Fisher, M.J., Marshall, A.P.: Understanding descriptive statistics. Aust. Crit. Care 22(2), 93–97 (2009)CrossRef
8.
go back to reference Byrne, G.: A statistical primer: understanding descriptive and inferential statistics. Evid. Based Libr. Inf. Pract. 2(1), 32–47 (2007)CrossRef Byrne, G.: A statistical primer: understanding descriptive and inferential statistics. Evid. Based Libr. Inf. Pract. 2(1), 32–47 (2007)CrossRef
9.
go back to reference Berger, R.W., Benbow, D.W., Elshennawy, A.K., Walker, H.F.: The Certified Quality Engineer Handbook. ASQ Quality Press (2006) Berger, R.W., Benbow, D.W., Elshennawy, A.K., Walker, H.F.: The Certified Quality Engineer Handbook. ASQ Quality Press (2006)
10.
go back to reference Kwak, S.G., Park, S.-H.: Normality test in clinical research. J. Rheum. Dis. 26(1), 5–11 (2019)CrossRef Kwak, S.G., Park, S.-H.: Normality test in clinical research. J. Rheum. Dis. 26(1), 5–11 (2019)CrossRef
11.
go back to reference Ghosh, D., Vogt, A.: Outliers: an evaluation of methodologies. In: Joint Statistical Meetings (2012) Ghosh, D., Vogt, A.: Outliers: an evaluation of methodologies. In: Joint Statistical Meetings (2012)
13.
go back to reference Bagkavos, D., Patil, P.N.: Improving the Wilcoxon signed rank test by a kernel smooth probability integral transformation. Stat. Probab. Lett. 171, 109026 (2021)MathSciNetCrossRef Bagkavos, D., Patil, P.N.: Improving the Wilcoxon signed rank test by a kernel smooth probability integral transformation. Stat. Probab. Lett. 171, 109026 (2021)MathSciNetCrossRef
14.
go back to reference Morgan, G.A., Gliner, J.A., Harmon, R.J.: Selection of inferential statistics: an overview. J. Am. Acad. Child Adolesc. Psychiatry 41(4), 478–481 (2002)CrossRef Morgan, G.A., Gliner, J.A., Harmon, R.J.: Selection of inferential statistics: an overview. J. Am. Acad. Child Adolesc. Psychiatry 41(4), 478–481 (2002)CrossRef
16.
go back to reference Maron, O., Moore, A.: Hoeffding races: accelerating model selection search for classification and function approximation. In: Advances in Neural Information Processing Systems, vol. 6 (1993) Maron, O., Moore, A.: Hoeffding races: accelerating model selection search for classification and function approximation. In: Advances in Neural Information Processing Systems, vol. 6 (1993)
17.
go back to reference Balaprakash, P., Birattari, M., Stützle, T.: Improvement strategies for the F-Race algorithm: sampling design and iterative refinement. In: Bartz-Beielstein, T., et al. (eds.) Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund, Germany, 8–9 October 2007, Proceedings 4, HM 2007. LNCS, vol. 4771, pp. 108–122. Springer, Cham (2007). https://doi.org/10.1007/978-3-540-75514-2_9 Balaprakash, P., Birattari, M., Stützle, T.: Improvement strategies for the F-Race algorithm: sampling design and iterative refinement. In: Bartz-Beielstein, T., et al. (eds.) Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund, Germany, 8–9 October 2007, Proceedings 4, HM 2007. LNCS, vol. 4771, pp. 108–122. Springer, Cham (2007). https://​doi.​org/​10.​1007/​978-3-540-75514-2_​9
18.
go back to reference Gümüş, D.B., Özcan, E., Atkin, J., Drake, J.H.: An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. Inf. Sci. (N Y) 619, 153–171 (2023)CrossRef Gümüş, D.B., Özcan, E., Atkin, J., Drake, J.H.: An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. Inf. Sci. (N Y) 619, 153–171 (2023)CrossRef
19.
go back to reference van Dijk, T., et al.: A unified race algorithm for offline parameter tuning. In: Proceedings of the Winter Simulation Conference 2014, pp. 3971–3982. IEEE (2014) van Dijk, T., et al.: A unified race algorithm for offline parameter tuning. In: Proceedings of the Winter Simulation Conference 2014, pp. 3971–3982. IEEE (2014)
20.
go back to reference Lacroix, B., McCall, J., Lonchampt, J.: Iterated racing algorithm for simulation-optimisation of maintenance planning. In: 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE (2018) Lacroix, B., McCall, J., Lonchampt, J.: Iterated racing algorithm for simulation-optimisation of maintenance planning. In: 2018 IEEE Congress on Evolutionary Computation (CEC). IEEE (2018)
21.
go back to reference Silva, H., Santos, A.S., Varela, L.R., Trojanowska, J., Berladir, K.: Design of experiments: an overview and future paths. In: Burduk, A., Batako, A., Machado, J., Wyczółkowski, R., Antosz, K., Gola, A. (eds.) Advances in Production, ISPEM 2023. LNNS, vol. 790, pp. 328–341. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-45021-1_25 Silva, H., Santos, A.S., Varela, L.R., Trojanowska, J., Berladir, K.: Design of experiments: an overview and future paths. In: Burduk, A., Batako, A., Machado, J., Wyczółkowski, R., Antosz, K., Gola, A. (eds.) Advances in Production, ISPEM 2023. LNNS, vol. 790, pp. 328–341. Springer, Cham (2023). https://​doi.​org/​10.​1007/​978-3-031-45021-1_​25
22.
go back to reference Diering, M., Dyczkowski, K., Hamrol, A.: Rating system analysis in quality engineering based on fuzzy similarity. J. Multiple-Valued Logic Soft Comput. 32(3–4), 277–292 (2019) Diering, M., Dyczkowski, K., Hamrol, A.: Rating system analysis in quality engineering based on fuzzy similarity. J. Multiple-Valued Logic Soft Comput. 32(3–4), 277–292 (2019)
23.
go back to reference Liu, S., Yin, L., Mocanu, D.C., Pechenizkiy, M.: Do we actually need dense over-parameterization? In-time over-parameterization in sparse training. In: International Conference on Machine Learning, pp. 6989–7000. PMLR (2021) Liu, S., Yin, L., Mocanu, D.C., Pechenizkiy, M.: Do we actually need dense over-parameterization? In-time over-parameterization in sparse training. In: International Conference on Machine Learning, pp. 6989–7000. PMLR (2021)
25.
go back to reference Choi, G.P.T., Lui, L.M.: Recent developments of surface parameterization methods using quasi-conformal geometry. In: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, pp. 1–41 (2022) Choi, G.P.T., Lui, L.M.: Recent developments of surface parameterization methods using quasi-conformal geometry. In: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, pp. 1–41 (2022)
26.
go back to reference Kaščak, J., Husár, J., Knapčíková, L., Trojanowska, J., Ivanov, V.: Conceptual use of augmented reality in the maintenance of manufacturing facilities. In: Trojanowska, J., Kujawińska, A., Machado, J., Pavlenko, I. (eds.) Advances in Manufacturing III, vol. 2 – Production Engineering: Research and Technology Innovations, Industry 4.0, pp. 241–252. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-99310-8_19 Kaščak, J., Husár, J., Knapčíková, L., Trojanowska, J., Ivanov, V.: Conceptual use of augmented reality in the maintenance of manufacturing facilities. In: Trojanowska, J., Kujawińska, A., Machado, J., Pavlenko, I. (eds.) Advances in Manufacturing III, vol. 2 – Production Engineering: Research and Technology Innovations, Industry 4.0, pp. 241–252. Springer, Cham (2022). https://​doi.​org/​10.​1007/​978-3-030-99310-8_​19
27.
go back to reference Doerr, B., Eremeev, A., Horoba, C., Neumann, F., Theile, M.: Evolutionary algorithms and dynamic programming. In: Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, pp. 771–778 (2009) Doerr, B., Eremeev, A., Horoba, C., Neumann, F., Theile, M.: Evolutionary algorithms and dynamic programming. In: Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, pp. 771–778 (2009)
30.
go back to reference Falkner, S., Klein, A., Hutter, F.: Combining hyperband and Bayesian optimization. In: NIPS 2017 Bayesian Optimization Workshop, December 2017 Falkner, S., Klein, A., Hutter, F.: Combining hyperband and Bayesian optimization. In: NIPS 2017 Bayesian Optimization Workshop, December 2017
Metadata
Title
A Racing Approach: The Evolution of Racing Techniques, A Systematic Literature Review
Authors
Hugo Silva
André S. Santos
Leonilde R. Varela
Magdalena Diering
Khrystyna Berladir
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-56444-4_11

Premium Partner