R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection

Author:

Trautmann Heike,Wagner Tobias,Brockhoff Dimo

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. Branke, J., Deb, K., Dierolf, H., Osswald, M.: Finding knees in multi-objective optimization. In: Yao, X., Burke, E.K., Lozano, J., Smith, J., Merelo-Guervós, J., Bullinaria, J.A., Rowe, J.E., Tiňo, P., Kabán, A., Schwefel, H.-P. (eds.) PPSN 2004. LNCS, vol. 3242, pp. 722–731. Springer, Heidelberg (2004)

2. Bringmann, K., Friedrich, T.: Convergence of hypervolume-based archiving algorithms I: effectiveness. In: Genetic and Evolutionary Computation Conference (GECCO 2011), pp. 745–752. ACM, New York (2011)

3. Brockhoff, D., Trautmann, H., Wagner, T.: On the properties of the R2 indicator. In: Genetic and Evolutionary Computation Conference (GECCO 2012), pp. 465–472. ACM, New York (2012)

4. Deb, K., Thiele, L., Laumanns, M., Zitzler, E.: Scalable multi-objective optimization test problems. In: Congress on Evolutionary Computation (CEC 2002), pp. 825–830. IEEE Press, New Jersey (2002)

5. Hansen, M.P., Jaszkiewicz, A.: Evaluating the quality of approximations of the non-dominated set. Technical report, Institute of Mathematical Modeling, Technical University of Denmark (1998), IMM Technical Report IMM-REP-1998-7

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