Title
Best approximations of fitness functions of binary strings
Abstract
Fitness functions of binary strings (pseudo-boolean functions) canbe represented as polynomials over a set of boolean variables. Weshow that any such function has a unique best approximation in thelinear span of any subset of polynomials. For example, there is aunique best linear approximation and a unique best quadraticapproximation. The error of an approximation here isroot-mean-squared error. If all the details of the function to beapproximated are known, then the approximation can be calculateddirectly. Of more practical importance, we give a method for usingsampling to estimate the coefficients of the approximation, anddescribe its limitations.
Year
DOI
Venue
2004
10.1023/B:NACO.0000023418.20610.4d
Natural Computing
Keywords
DocType
Volume
approximation,fitness function,pseudo-boolean function
Journal
3
Issue
ISSN
Citations 
1
1572-9796
4
PageRank 
References 
Authors
0.65
3
2
Name
Order
Citations
PageRank
Hang Zhang140.65
Jonathan E. Rowe245856.35