When parameter tuning actually is parameter control

Wessing S., Preuss M., Rudolph G.


Zusammenfassung
In this paper, we show that sequential parameter optimization (SPO), a method that was designed for (offline) parameter tuning, can be successfully used as a controller for multistart approaches of evolutionary algorithms (EA). We demonstrate this by replacing the restart heuristic of the IPOP-CMA-ES with the SPO algorithm. Experiments on the BBOB 2010 test cases suggest that the performance is at least competitive while the approach provides more options, e.g. setting more than one parameter at once. Essentially, we argue that SPO is a generalization of the IPOP heuristic and that the distinction between tuning and control is - although often useful - an artificial one. Copyright 2011 ACM.

Schlüsselwörter
CMA-ES; Parameter control; Parameter setting; Parameter tuning; SPO



Publikationstyp
Aufsatz (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2011

Konferenz
13th Annual Genetic and Evolutionary Computation Conference, GECCO'11

Konferenzort
Dublin, irl

Erste Seite
821

Letzte Seite
827

Seiten
821-827

Band
null

Verlag
ACM

Sprache
Englisch

ISBN
9781450305570

DOI

Gesamter Text

Affiliierungen
Universitat Dortmund