An analysis of parameters of irace

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8600, Issue , 2014, Pages 37-48

  Cáceres, Leslie Pérez ^a   López Ibáñez, Manuel ^a   Stützle, Thomas ^a  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

COMBINATORIAL OPTIMIZATION;

AUTOMATIC CONFIGURATION; CONFIDENCE LEVELS; CONFIGURATION PROCESS; FIVE PARAMETERS; FLEXIBLE TOOL; INTUITIVE UNDERSTANDING; NUMBER OF ITERATIONS; SEARCH PROCESS;

STATISTICAL TESTS;

EID: 84927587880     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (18)

1. Ansotegui, C., Sellmann, M., Tierney, K.: A gender-based genetic algorithm for the automatic configuration of algorithms. In: Gent, I.P. (ed.) CP 2009. LNCS, vol. 5732, pp. 142-157. Springer, Heidelberg (2009)
2. Babic, D., Hutter, F.: Spear theorem prover. In: SAT 2008: Proceedings of the SAT 2008 Race (2008)
3. Balaprakash, P., Birattari, M., Stützle, T.: Improvement strategies for the F-race algorithm: Sampling design and iterative refinement. In: Bartz-Beielstein, T., Blesa Aguilera, M.J., Blum, C., Naujoks, B., Roli, A., Rudolph, G., Sampels, M. (eds.) HM 2007. LNCS, vol. 4771, pp. 108-122. Springer, Heidelberg (2007)
4. Bartz-Beielstein, T., Lasarczyk, C., Preuss, M.: Sequential parameter optimization. In: Proceedings of CEC 2005, pp. 773-780. IEEE Press (2005)
5. Birattari, M.: Tuning Metaheuristics: A Machine Learning Perspective. SCI, vol. 197. Springer, Heidelberg (2009)
6. Birattari, M., Yuan, Z., Balaprakash, P., Stutzle, T.: F-race and iterated F-race: An overview. In: Bartz-Beielstein, T., et al. (eds.) Experimental Methods for the Analysis of Optimization Algorithms, pp. 311-336. Springer, Berlin (2010)
7. Branke, J., Elomari, J.: Racing with a fixed budget and a self-adaptive significance level. In: Nicosia, G., Pardalos, P. (eds.) LION 7. LNCS, vol. 7997, pp. 272-280. Springer, Heidelberg (2013)
8. Conover, W.J.: Practical Nonparametric Statistics. John Wiley & Sons (1999)
9. Hoos, H.H.: Automated algorithm configuration and parameter tuning. In: Hamadi, Y., et al. (eds.) Autonomous Search, pp. 37-71. Springer, Berlin (2012)
10. Hutter, F., Hoos, H.H., Leyton-Brown, K.: Sequential model-based optimization for general algorithm configuration. In: Coello Coello, C.A. (ed.) LION 5. LNCS, vol. 6683, pp. 507-523. Springer, Heidelberg (2011)
11. Hutter, F., Hoos, H.H., Leyton-Brown, K., Stutzle, T.: ParamILS: An automatic algorithm configuration framework. Journal of Artificial Intelligence Research 36, 267-306 (2009)
12. Lopez-Ibanez, M., Dubois-Lacoste, J., Stutzle, T., Birattari, M.: The irace package, iterated race for automatic algorithm configuration. Tech. Rep. TR/IRIDIA/2011-004, IRIDIA, Universite Libre de Bruxelles, Belgium (2011)
13. Lopez-Ibanez, M., Stutzle, T.: The automatic design of multi-objective ant colony optimization algorithms. IEEE Transactions on Evolutionary Computation 16(6), 861-875 (2012)
14. Schneider, M., Hoos, H.H.: Quantifying homogeneity of instance sets for algorithm configuration. In: Hamadi, Y., Schoenauer, M. (eds.) LION 6. LNCS, vol. 7219, pp. 190-204. Springer, Heidelberg (2012)
15. Siegel, S., Castellan, N.J.: Non Parametric Statistics for the Behavioral Sciences, 2nd edn. McGraw Hill (1988)
16. Smit, S.K., Eiben, A.E.: Beating the “world champion” evolutionary algorithm via REVAC tuning. In: Ishibuchi, H., et al. (eds.) Proceedings of CEC 2010, pp. 1-8. IEEE Press (2010)
17. Stutzle, T.: ACOTSP: A software package of various ant colony optimization algorithms applied to the symmetric traveling salesman problem (2002), http://www.aco-metaheuristic.org/aco-code/
18. Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C.M., Grunert da Fonseca, V.: Performance assessment of multiobjective optimizers: an analysis and review. IEEE Transactions on Evolutionary Computation 7(2), 117-132 (2003)