Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation

Author:

Emmerich Michael,Deutz André,Kruisselbrink Johannes,Shukla Pradyumn Kumar

Publisher

Springer Berlin Heidelberg

Reference21 articles.

1. Auger, A., Bader, J., Brockhoff, D., Zitzler, E.: Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point. In: FOGA 2009, pp. 87–102. ACM, NY (2009)

2. Bader, J., Zitzler, E.: HypE: An algorithm for fast hypervolume-based many-objective optimization. Evolutionary Computation 19(1), 45–76 (2011)

3. Batista, L.S., Campelo, F., Guimarães, F.G., Ramírez, J.A.: Pareto cone -dominance: Improving convergence and diversity in multiobjective evolutionary algorithms. In: Takahashi, et al. (eds.) [18], pp. 76–90

4. Billingsley, P.: Probability and Measure, 3rd edn. Wiley (1995)

5. Lecture Notes in Computer Science;K. Bringmann,2009

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