Benchmarking MATLAB's gamultiobj (NSGA-II) ...
Document type :
Communication dans un congrès avec actes
DOI :
Title :
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite
Author(s) :
Auger, Anne [Auteur]
Machine Learning and Optimisation [TAO]
Brockhoff, Dimo [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Hansen, Nikolaus [Auteur]
Machine Learning and Optimisation [TAO]
Tušar, Dejan [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Tušar, Tea [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Wagner, Tobias [Auteur]
Technische Universität Dortmund [Dortmund] [TU]
Machine Learning and Optimisation [TAO]
Brockhoff, Dimo [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Hansen, Nikolaus [Auteur]
Machine Learning and Optimisation [TAO]
Tušar, Dejan [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Tušar, Tea [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Wagner, Tobias [Auteur]
Technische Universität Dortmund [Dortmund] [TU]
Conference title :
GECCO 2016 - Genetic and Evolutionary Computation Conference
City :
Denver, CO
Country :
Etats-Unis d'Amérique
Start date of the conference :
2016-07-20
Book title :
GECCO '16 Companion Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
Publisher :
ACM
English keyword(s) :
Benchmarking
Black-box optimization
Bi-objective optimization
Black-box optimization
Bi-objective optimization
HAL domain(s) :
Informatique [cs]/Réseau de neurones [cs.NE]
Mathématiques [math]/Optimisation et contrôle [math.OC]
Mathématiques [math]/Optimisation et contrôle [math.OC]
English abstract : [en]
In this paper, we benchmark a variant of the well-known NSGA-II algorithm of Deb et al. on the biobjective bbob-biobj test suite of the Comparing Continuous Optimizers platform COCO. To this end, we employ the implementation ...
Show more >In this paper, we benchmark a variant of the well-known NSGA-II algorithm of Deb et al. on the biobjective bbob-biobj test suite of the Comparing Continuous Optimizers platform COCO. To this end, we employ the implementation of MATLAB's gamultiobj toolbox with its default settings and a population size of 100.Show less >
Show more >In this paper, we benchmark a variant of the well-known NSGA-II algorithm of Deb et al. on the biobjective bbob-biobj test suite of the Comparing Continuous Optimizers platform COCO. To this end, we employ the implementation of MATLAB's gamultiobj toolbox with its default settings and a population size of 100.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
ANR Project :
Collections :
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