The R-Package FLACCO for Exploratory Landscape Analysis with Applications to Multi-Objective Optimization Problems
Kerschke Pascal, Trautmann Heike
Zusammenfassung
Exploratory Landscape Analysis (ELA) aims at understanding characteristics of single-objective continuous (black-box) optimization problems in an automated way. Moreover, the approach provides the basis for constructing algorithm selection models for unseen problem instances. Recently, it has gained increasing attention and numerical features have been designed by various research groups. This paper introduces the R-Package FLACCO which makes all relevant features available in a unified framework together with efficient helper functions. Moreover, a case study which gives perspectives to ELA for multi-objective optimization problems is presented.
Publikationstyp
Forschungsartikel in Sammelband (Konferenz)
Begutachtet
Ja
Publikationsstatus
Veröffentlicht
Jahr
2016
Konferenz
IEEE Congress on Evolutionary Computation (CEC)
Konferenzort
Vancouver, BC, Kanada
Sprache
Englisch
DOI
Gesamter Text