DelayedPFactory | R Documentation |
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.
DelayedPFactory()
The factory contains examples of all functions
which form the interface of a problem environment to
the genetic algorithm with binary-coded genes
of package xega
.
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.
$solution()
: The solution structure. A named list with minimum
, maximum
and
2 lists of equivalent solutions: minpoints
, maxpoints
.
Parabola2D
Other Problem Environments:
DeJongF4Factory()
,
Parabola2DEarlyFactory()
,
Parabola2DErrFactory()
,
Parabola2DFactory()
,
envXOR
,
lau15
,
newEnvXOR()
,
newTSP()
DelayedP<-DelayedPFactory()
DelayedP$f(c(2.2, 1.0))
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