| DelayedPFactory {xegaSelectGene} | R Documentation |
Factory for a 2-dimensional quadratic parabola with delayed execution.
Description
This list of functions sets up the problem environment for a 2-dimensional quadratic parabola with a delayed execution of 0.1s. This function aims to test strategies of distributed/parallel execution of functions.
Usage
DelayedPFactory()
Details
The factory contains examples of all functions
which form the interface of a problem environment to
the simple genetic algorithm with binary-coded genes
of package xega.
Value
A problem environment represented as a list of functions:
-
$name(): The name of the problem environment. -
$bitlength(): The vector of the number of bits of each parameter of the function. -
$genelength(): The number of bits of the gene. -
$lb(): The vector of lower bounds of the parameters. -
$ub(): The vector of upper bounds of the parameters. -
$f(parm, gene=0, lF=0)): The fitness function.
Additional elements:
-
$describe(): Print a description of the problem environment to the console. -
$solution(): The solution structure. A named list withminimum,maximumand 2 lists of equivalent solutions:minpoints,maxpoints.
See Also
Parabola2D
Other Problem Environments:
DeJongF4Factory(),
Parabola2DEarlyFactory(),
Parabola2DErrFactory(),
Parabola2DFactory(),
envXOR,
lau15,
newEnvXOR(),
newTSP()
Examples
DelayedP<-DelayedPFactory()
DelayedP$f(c(2.2, 1.0))