Benchmarking evolutionary algorithms: Towards exploratory landscape analysis

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

Volumn 6238 LNCS, Issue PART 1, 2010, Pages 73-82

  Mersmann, Olaf ^a   Preuss, Mike ^a   Trautmann, Heike ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

BBOB test set; benchmarking; consensus ranking; evolutionary optimization; multidimensional scaling

Indexed keywords

BENCHMARK EXPERIMENTS; CONSENSUS RANKING; EVOLUTIONARY OPTIMIZATIONS; LANDSCAPE ANALYSIS; MULTI-DIMENSIONAL SCALING; OPTIMIZATION ALGORITHMS; REAL-WORLD PROBLEM; TEST SETS;

BENCHMARKING; EVOLUTIONARY ALGORITHMS; OPTIMIZATION;

PROBLEM SOLVING;

EID: 78149277877     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15844-5_8     Document Type: Conference Paper

References (12)

1. de Borda, J.C.: Mémoire sur les élections au scrutin. Historie de l'Académie Royale des Sciences (1781)
2. Hansen, N., Auger, A., Finck, S., Ros, R.: Real-parameter black-box optimization benchmarking 2009: Experimental setup. Tech. Rep. RR-6828, INRIA (2009), http://hal.inria.fr/inria-00362649/en/
3. Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. Springer, New York (2001)
4. Hunter, D.J.: Essentials of Discrete Mathematics. Jones and Bartlett Publishers, Boston (2008)
5. Kaufman, L., Rousseeuw, P.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley Interscience, New York (1990)
6. Kemeny, J.G., Snell, J.L.: Mathematical Models in the Social Siences. MIT Press, Cambridge (1972)
7. Mersmann, O.: Benchmarking evolutionary multiobjective optimization algorithms using R. Bachelor Thesis, TU Dortmund (2009), http://www.statistik. tu-dortmund.de/~olafm/files/ba.pdf
8. Mersmann, O., Trautmann, H., Naujoks, B., Weihs, C.: Benchmarking evolutionary multi-objective optimization algorithms. In: Ishibuchi, H., et al. (eds.) Congress on Evolutionary Computation (CEC). IEEE Press, Piscataway (2010)
9. Saari, D.G.: The optimal ranking method is the Borda Count. Discussion Paper 638, Northwestern University, Center for Mathematical Studies in Economics and Management Science (1985), http://ideas.repec.org/p/nwu/cmsems/638.html
10. Saari, D.G., Merlin, V.R.: A geometric examination of Kemeny's Rule. Social Choice and Welfare 17, 2000 (1997)
11. Suganthan, P.N., Hansen, N., Liang, J.J., Deb, K., Chen, Y.P., Auger, A., Tiwari, S.: Problem definitions and evaluation criteria for the cec 2005 special session on real-parameter optimization. Tech. rep., Nanyang Technological University, Singapore (May 2005), http://www.ntu.edu.sg/home/ EPNSugan
12. Törn, A., Ali, M., Viitanen, S.: Stochastic Global Optimization: Problem Classes and Solution Techniques. Journal of Global Optimization 14(4), 437-447 (1999)