Treffer: The effect of building block construction on the behavior of the GA in dynamic environments : A case study using the shaky ladder hyperplane-defined functions

Title:
The effect of building block construction on the behavior of the GA in dynamic environments : A case study using the shaky ladder hyperplane-defined functions
Source:
Applications of evolutionary computing (EvoWorkshops 2006)Lecture notes in computer science. :776-787
Publisher Information:
Berlin: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 8 ref 1
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Northwestern University, Northwestern Institute on Complex Systems, Evanston, IL, 60208-4057, United States
University of Michigan, Center for the Study of Complex Systems, Ann Arbor, MI 48109-1120, United States
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19131313
Database:
PASCAL Archive

Weitere Informationen

The shaky ladder hyperplane-defined functions (sl-hdf's) are a test suite utilized for exploring the behavior of the genetic algorithm (GA) in dynamic environments. We present three ways of constructing the sl-hdf's by manipulating the way building blocks are constructed, combined, and changed. We examine the effect of the length of elementary building blocks used to create higher building blocks, and the way in which those building blocks are combined. We show that the effects of building block construction on the behavior of the GA are complex. Our results suggest that construction routines which increase the roughness of the changes in the environment allow the GA to perform better by preventing premature convergence. Moreover, short length elementary building blocks permit early rapid progress.