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#include <metric/moeoHyperVolumeMetric.h>
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/**
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* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
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* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
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* The hypervolume difference metric as proposed by Zitzler et al (2003).
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* Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C., Grunert da Fonseca, V. (2003): Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pages 117--132.
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*/
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template < class ObjectiveVector >
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class moeoHyperVolumeDifferenceMetric : public moeoVectorVsVectorBinaryMetric < ObjectiveVector, double >
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#include <metric/moeoMetric.h>
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/**
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* The contribution metric evaluates the proportion of non-dominated solutions given by a Pareto set relatively to another Pareto set
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* (Meunier, Talbi, Reininger: 'A multiobjective genetic algorithm for radio network optimization', in Proc. of the 2000 Congress on Evolutionary Computation, IEEE Press, pp. 317-324)
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* The hypervolume metric as proposed by Zitzler et al (2003).
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* Zitzler, E., Thiele, L., Laumanns, M., Fonseca, C., Grunert da Fonseca, V. (2003): Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pages 117--132.
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*/
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template < class ObjectiveVector >
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class moeoHyperVolumeMetric : public moeoVectorUnaryMetric < ObjectiveVector , double >
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