Benchmarking MATLAB's gamultiobj (NSGA-II) on the bi-objective BBOB-2016 test suite

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we benchmark a variant of the well-known NSGA-II algorithm of Deb et al. on the biobjective family bbob-biobj test suite of the Comparing Continuous Optimizers platform COCO. To this end, we employ the implementation of MATLAB's family gamultiobj toolbox with its default settings and a population size of 100.

Original languageEnglish
Title of host publicationGECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference
EditorsTobias Friedrich
PublisherAssociation for Computing Machinery, Inc
Pages1233-1239
Number of pages7
ISBN (Electronic)9781450343237
DOIs
Publication statusPublished - 20 Jul 2016
Externally publishedYes
Event2016 Genetic and Evolutionary Computation Conference, GECCO 2016 Companion - Denver, United States
Duration: 20 Jul 201624 Jul 2016

Publication series

NameGECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference

Conference

Conference2016 Genetic and Evolutionary Computation Conference, GECCO 2016 Companion
Country/TerritoryUnited States
CityDenver
Period20/07/1624/07/16

Keywords

  • Benchmarking
  • Bi-objective optimization
  • Black-box optimization

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