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Biobjective Performance Assessment with the COCO Platform

Dimo Brockhoff 1 Tea Tušar 1 Dejan Tusar 1 Tobias Wagner 2 Nikolaus Hansen 3 Anne Auger 3
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
3 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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Contributor : Nikolaus Hansen Connect in order to contact the contributor
Submitted on : Friday, May 13, 2016 - 12:45:36 AM
Last modification on : Friday, January 21, 2022 - 3:11:04 AM

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


Dimo Brockhoff, Tea Tušar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, et al.. Biobjective Performance Assessment with the COCO Platform. 2016. ⟨hal-01315317⟩



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