Skip to Main content Skip to Navigation
Book sections

Evolutionary Algorithms as fitness function debuggers

Abstract : All Evolutionary Algorithms experienced practitioners emphasize the need for a careful design of the fitness function. It is commonly heard~ for instance, that "If there is a bug in your fitness function, the EA will find it". This paper presents a case study of such a situation in the domain of geophysical underground identification: some weird solutions are found by the Evolutionary Algorithm, obviously physically absurd, but fulfilling almost perfectly the geophysical criterion.
Document type :
Book sections
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download

https://hal.inria.fr/hal-01225296
Contributor : Marc Schoenauer Connect in order to contact the contributor
Submitted on : Monday, November 9, 2015 - 7:01:49 PM
Last modification on : Wednesday, October 20, 2021 - 12:23:59 AM
Long-term archiving on: : Wednesday, February 10, 2016 - 10:08:41 AM

File

debugger-FIS99.pdf
Publisher files allowed on an open archive

Identifiers

Collections

`

Citation

Frédéric Mansanne, Frédéric Carrère, Andréas Ehinger, Marc Schoenauer. Evolutionary Algorithms as fitness function debuggers. Raś, ZbigniewW. and Skowron, Andrzej. Foundations of Intelligent Systems, 1609, Springer Verlag, pp.639-647, 1999, Lecture Notes in Computer Science, 978-3-540-65965-5. ⟨10.1007/BFb00910.1007/BFb00951535153⟩. ⟨hal-01225296⟩

Share

Metrics

Record views

372

Files downloads

899