When parameter tuning actually is parameter control

Wessing S., Preuss M., Rudolph G.


Abstract
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.

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



Publication type
Conference Paper

Peer reviewed
Yes

Publication status
Published

Year
2011

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

Venue
Dublin, irl

Start page
821

End page
827

Pages range
821-827

Volume
null

Publisher
ACM

Language
English

ISBN
9781450305570

DOI

Full text

Affiliation
Universitat Dortmund