Benchmarking evolutionary multiobjective optimization algorithms

2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010

Volumn , Issue , 2010, Pages

  Mersmann, Olaf ^a   Trautmann, Heike ^a   Naujoks, Boris ^a   Weihs, Claus ^a  

^a TU DORTMUND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK EXPERIMENTS; DESIGN AND ANALYSIS; EVOLUTIONARY MULTIOBJECTIVE OPTIMIZATION; MULTI OBJECTIVE; NON-LINEAR OPTIMIZATION PROBLEMS; OPTIMIZATION PROCEDURES; PERFORMANCE MEASURE; TEST PROBLEM;

ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 79959431112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586241     Document Type: Conference Paper

References (19)

1. J. Knowles, L. Thiele, and E. Zitzler, "A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers," Computer Engineering and Networks Laboratory, ETH Zurich, TIK Report 214, 2006.
2. K. Hornik and D. Meyer, "Deriving consensus rankings from bench-marking experiments," in Advances in Data Analysis (Proc. of the 30th Ann. Conf. of the Gesellschaft für Klassifikation, R. Decker and H.-J. Lenz, Eds. Springer, Berlin, 2007, pp. 163-170.
3. O. Mersmann, "Benchmarking evolutionary multiobjective optimization algorithms using R," TU Dortmund, Bachelor Thesis, http://www.statistik.tu- dortmund.de/~olafm/files/ba.pdf, 2009.
4. -, emoa: Evolutionary Multiobjective Optimization Algorithms, 2009, R package version 0.1-0. [Online]. Available: http://www. statistik.tu-dortmund. de/~olafm/emoa/
5. K. Hornik and D. Meyer, "Relations: Data structures and algorithms for relations," 2009, R package version 0.5-4 + modifications.
6. D. J. Hunter, Essentials of Discrete Mathematics. Jones and Bartlett Publishers, Boston, MA, 2008.
7. C. A. Coello Coello, D. A. V. Veldhuizen, and G. B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, New York, 2002.
8. E. Zitzler and L. Thiele, "Multiobjective optimization using evolutionary algorithms - A comparative case study," in Parallel Problem Solving from Nature V, E. A. Eiben et al., Eds., Springer, Berlin, 1998, pp. 292-301.
9. A. Mood, F. Graybill, and D. Boes, Introduction to the Theory of Statistics. McGraw-Hill, New York, 1974.
10. W. D. Cook and M. Kress, Ordianl Information & Preference Structures. Prentice Hall, Upper Saddle River, NJ, 1992.
11. K. J. Arrow, "A difficulty in the concept of social welfare," Journal of Political Economy, vol. 58, p. 328, 1950.
12. J. C. de Borda, "Mémoire sur les Élections au scrutin," Historie de l'Académie Royale des Sciences, 1781.
13. D. G. Saari, "The optimal ranking method is the borda count," Northwestern University, Center for Mathematical Studies in Economics and Management Science, Discussion Papers 638, 1985. [Online]. Available: http://ideas.repec.org/p/nwu/cmsems/638.html
14. J. G. Kemeny and J. L. Snell, Mathematical Models in the Social Siences. MIT Press, Cambridge, MA, 1972.
15. D. G. Saari and V. R. Merlin, "A geometric examination of kemeny's rule," Social Choice and Welfare, vol. 17, p. 2000, 1997.
16. V. L. Huang, A. K. Qin, K. Deb, E. Zitzler, P. N. Suganthan, J. J. Liang, M. Preuss, and S. Huband, "Problem definitions for performance assessment on multi-objective optimization algorithms," Nanyang Technological University, Tech. Rep., January 2007.
17. T. Hastie, R. Tibshirani, and J. Friedman, The Elements of Statistical Learning. Springer, New York, 2001.
18. O. Mersmann, M. Preuss, and H. Trautmann, "Benchmarking evolutionary algorithms: Towards exploratory landscape analysis," TU Dortmund, SFB 823 Discussion Paper 14/10, 2010. [Online]. Available: http://www.statistik.tu- dortmund.de/sfb823-dp2010.html
19. M. J. A. Eugster, T. Hothorn, and F. Leisch, "Exploratory and inferential analysis of benchmark experiments," Ludwigs-Maximilians- Universität München, Department of Statistics, Tech. Rep. 30, 2008.