TY - GEN
T1 - Measurement of anisotropy in fitness landscapes
AU - Pitzer, Erik
AU - Affenzeller, Michael
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - In this work we elaborate on the measurement of anisotropy in fitness landscapes by defining an extension over arbitrary base measures. This rather pragmatic method's soundness is justified by statistical argument and tested on several existing and new fitness landscapes. Moreover, new variants of the popular NK landscapes are introduced that exhibit varying degrees of anisotropy.
AB - In this work we elaborate on the measurement of anisotropy in fitness landscapes by defining an extension over arbitrary base measures. This rather pragmatic method's soundness is justified by statistical argument and tested on several existing and new fitness landscapes. Moreover, new variants of the popular NK landscapes are introduced that exhibit varying degrees of anisotropy.
KW - anisotropy
KW - fitness landscapes
KW - NK landscapes
KW - stationarity
UR - http://www.scopus.com/inward/record.url?scp=84892570186&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-53856-8_43
DO - 10.1007/978-3-642-53856-8_43
M3 - Conference contribution
SN - 9783642538551
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 340
EP - 347
BT - Computer Aided Systems Theory, EUROCAST 2013 - 14th International Conference, Revised Selected Papers
PB - Springer
T2 - 14th International Conference on Computer Aided Systems Theory, Eurocast 2013
Y2 - 10 February 2013 through 15 February 2013
ER -