Biobjective Performance Assessment with the COCO Platform

Dimo Brockhoff 1 Tea Tusar 1 Dejan Tusar 1 Tobias Wagner 2 Nikolaus Hansen 3, 4 Anne Auger 4
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
4 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : This document details the rationales behind assessing the performance of numerical black-box optimizers on multi-objective problems within the COCO platform and in particular on the biobjective test suite bbob-biobj. The evaluation is based on a hypervolume of all non-dominated solutions in the archive of candidate solutions and measures the runtime until the hypervolume value succeeds prescribed target values.
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https://hal.inria.fr/hal-01315317
Contributeur : Nikolaus Hansen <>
Soumis le : vendredi 13 mai 2016 - 00:45:36
Dernière modification le : jeudi 11 janvier 2018 - 06:22:14

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  • HAL Id : hal-01315317, version 1
  • ARXIV : 1605.01746

Citation

Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, et al.. Biobjective Performance Assessment with the COCO Platform. ArXiv e-prints, arXiv:1605.01746. 2016. 〈hal-01315317〉

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