The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite-Reference-Cited by-同舟云学术

The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite

Published:2016-07-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
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Author:

Auger Anne¹,Brockhoff Dimo²,Hansen Nikolaus¹,Tušar Dejan²,Tušar Tea²,Wagner Tobias³

Affiliation:

1. Inria Saclay - Ile-de-France, Orsay, France

2. Inria Lille - Nord Europe, Villeneuve d'Ascq, France

3. TU Dortmund, Dortmund, Germany

Funder

Agence Nationale de la Recherche

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2908961.2931705

Reference15 articles.

1. Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed

2. The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite

3. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization

4. D. Brockhoff T. Tušar D. Tušar T. Wagner N. Hansen and A. Auger. Biobjective performance assessment with the COCO platform. ArXiv e-prints https://arxiv.org/abs/1605.01746arXiv:1605.01746 2016. D. Brockhoff T. Tušar D. Tušar T. Wagner N. Hansen and A. Auger. Biobjective performance assessment with the COCO platform. ArXiv e-prints https://arxiv.org/abs/1605.01746arXiv:1605.01746 2016.

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