Coupling the design of benchmark with algorithm in landscape-aware solver design

Abstract : Following a general trend in artificial intelligence, Evolutionary Computation has, in recent years, witnessed substantial performance gains from landscape-aware selection and parameter tuning of algorithmic modules. Such approaches, however, are critically relying on suitable benchmarks, or training sets, that provide the appropriate blend of performance and generality. With this position paper we argue that, on a landscape analysis basis, the benchmark design problem will form a substantial part of the next-generation of automated, on-demand algorithm design principles.
Document type :
Conference papers
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.sorbonne-universite.fr/hal-02179604
Contributor : Carola Doerr <>
Submitted on : Tuesday, January 14, 2020 - 3:55:03 PM
Last modification on : Friday, January 17, 2020 - 4:56:13 PM

File

bl wksp130s2-file1 (1).pdf
Files produced by the author(s)

Identifiers

Citation

Johann Dréo, Carola Doerr, Yann Semet. Coupling the design of benchmark with algorithm in landscape-aware solver design. Genetic and Evolutionary Computation Conference, Companion Material, Jul 2019, Prague, Czech Republic. pp.1419-1420, ⟨10.1145/3319619.3326821⟩. ⟨hal-02179604⟩

Share

Metrics

Record views

39

Files downloads

8