makeSeSymbolicFitnessFunction: Create a fitness function based on symbolic squared error...
In rgp: R genetic programming framework
Description
Usage
Arguments
Value
Description
Creates a fitness function that calculates the squared error of
an individual with respect to a reference function func.
When an indsizelimit is given, individuals exceeding this
limit will receive a fitness of Inf.
Usage
1
2
makeSeSymbolicFitnessFunction(func, lower, upper, subdivisions = 100,
indsizelimit = NA)
Arguments
func
The reference function.
lower
The lower limit of integraion.
upper
The upper limit of integraion.
subdivisions
The maximum number of subintervals for numeric integration.
indsizelimit
Individuals exceeding this size limit will get
a fitness of Inf.
Value
A fitness function based on the reference function func.
rgp documentation built on May 30, 2017, 12:45 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
Creates a fitness function that calculates the squared error of
an individual with respect to a reference function func.
When an indsizelimit is given, individuals exceeding this
limit will receive a fitness of Inf.
Usage
1 2 | makeSeSymbolicFitnessFunction(func, lower, upper, subdivisions = 100,
indsizelimit = NA)
|
Arguments
func |
The reference function. |
lower |
The lower limit of integraion. |
upper |
The upper limit of integraion. |
subdivisions |
The maximum number of subintervals for numeric integration. |
indsizelimit |
Individuals exceeding this size limit will get
a fitness of |
Value
A fitness function based on the reference function func.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.