Benchmarking Algorithms from the platypus Framework on the Biobjective bbob-biobj Testbed - Archive ouverte HAL Access content directly
Conference Papers Year :

Benchmarking Algorithms from the platypus Framework on the Biobjective bbob-biobj Testbed

(1, 2, 3) , (4)
1
2
3
4

Abstract

One of the main goals of the COCO platform is to produce, collect , and make available benchmarking performance data sets of optimization algorithms and, more concretely, algorithm implementations. For the recently proposed biobjective bbob-biobj test suite, less than 20 algorithms have been benchmarked so far but many more are available to the public. We therefore aim in this paper to benchmark several available multiobjective optimization algorithms on the bbob-biobj test suite and discuss their performance. We focus here on algorithms implemented in the platypus framework (in Python) whose main advantage is its ease of use without the need to set up many algorithm parameters.
Fichier principal
Vignette du fichier
templateBIOBJmultiple-authorversion-compressed.pdf (7.08 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02171136 , version 1 (02-07-2019)

Identifiers

Cite

Dimo Brockhoff, Tea Tušar. Benchmarking Algorithms from the platypus Framework on the Biobjective bbob-biobj Testbed. GECCO 2019 Companion - The Genetic and Evolutionary Computation Conference, Jul 2019, Prague, Czech Republic. ⟨10.1145/3319619.3326896⟩. ⟨hal-02171136⟩
124 View
376 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More