Crowding Distance Assignment Management

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    Babbar, M., Lakshmikantha, A., Goldberg, D.E.: A Modified NSGA-II to Solve Noisy Multiobjective Problems. In: Foster, J. (ed.) 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, Chicago, Illinois, USA, July 2003, pp. 21–27. AAAI, Menlo Park (2003)Google Scholar

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    Das, I.: A preference ordering among various pareto optimal alternatives. Structural and Multidisciplinary Optimization 18(1), 30–35 (1999)Google Scholar

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    Deb, K., Agrawal, S., Pratab, A., Meyarivan, T.: A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II. In: Deb, K., Rudolph, G., Lutton, E., Merelo, J.J., Schoenauer, M., Schwefel, H.-P., Yao, X. (eds.) Parallel Problem Solving from Nature-PPSN VI. LNCS, vol. 1917, pp. 849–858. Springer, Heidelberg (2000)CrossRefGoogle Scholar

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    Deb, K., Jain, S.: Running Performance Metrics for Evolutionary Multi-Objective Optimization. In: Wang, L., Tan, K.C., Furuhashi, T., Kim, J.-H., Yao, X. (eds.) Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL’02), vol. 1, Orchid Country Club, Singapore, November 2002, pp. 13–20. Nanyang Technical University (2002)Google Scholar

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    Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A Fast and Elitist Multiobjective Genetic Algorithm: NSGA–II. IEEE Transactions on Evolutionary Computation 6(2), 182–197 (2002)CrossRefGoogle Scholar

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    Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable Test Problems for Evolutionary Multi-Objective Optimization. Technical Report 112, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland (2001)Google Scholar

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    Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable Multi-Objective Optimization Test Problems. In: Congress on Evolutionary Computation (CEC’2002), vol. 1, Piscataway, New Jersey, May 2002, pp. 825–830. IEEE Computer Society Press, Los Alamitos (2002)Google Scholar

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    Fleming, P., Purshouse, R.C., Lygoe, R.J.: Many-Objective Optimization: An Engineering Design Perspective. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 14–32. Springer, Heidelberg (2005)Google Scholar

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    Khare, V., Yao, X., Deb, K.: Performance Scaling of Multi-objective Evolutionary Algorithms. In: Fonseca, C.M., Fleming, P.J., Zitzler, E., Deb, K., Thiele, L. (eds.) EMO 2003. LNCS, vol. 2632, pp. 376–390. Springer, Heidelberg (2003)CrossRefGoogle Scholar

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    Köppen, M., Vicente Garcia, R.: A fuzzy scheme for the ranking of multivariate data and its application. In: Proceedings of the 2004 Annual Meeting of the NAFIPS (CD-ROM), Banff, Alberta, Canada, pp. 140–145 (2004)Google Scholar

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    Köppen, M., Vicente-Garcia, R., Nickolay, B.: Fuzzy-Pareto-Dominance and Its Application in Evolutionary Multi-objective Optimization. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds.) EMO 2005. LNCS, vol. 3410, pp. 399–412. Springer, Heidelberg (2005)Google Scholar

  • У меня затекли плечи. Мидж не поддалась. - Прими аспирин. - Не помассируешь мне спину? - Он надулся.


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