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Genetic Improvement of Data for Maths Functions.
William B. Langdon
,
Oliver Krauss
Web Intelligence and Innovation Laboratory
AIST
Center of Excellence Medical Engineering/TIMed Center
Center of Excellence for Smart Production
Focal area ICT - Information & Communications Technology
HEAL
Research Center Hagenberg
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Citations (Scopus)
Overview
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Keyphrases
Genetic Improvement
100%
Square Root
100%
Math Functions
100%
Mote
50%
Code Changes
50%
Bespoke
50%
Continuous Optimization
50%
Quare
50%
Double Precision
50%
Smart Dust
50%
Sqrt
50%
Newton-Raphson Method
50%
Cube Root
50%
Numerical Value
50%
Binary Logarithm
50%
Reciprocal Square Root
50%
Mathematical Library
50%
Mobile Resources
50%
Square Root Function
50%
C Library
50%
New Functionalities
50%
Low-resource
50%
Glibc
50%
Manual Code
50%
Computer Science
Open Source
100%
Reciprocal Square Root
100%
Continuous Optimization
100%
Numerical Value
100%
Double Precision
100%
Engineering
Square Root
100%
Genetic Improvement
100%
Double Precision
33%
Numerical Value
33%
Cube Root
33%
Root Function
33%