Elimination (generation gap) algorithm with roulette wheel elimination selection operatorThis algorithm is genotype independent (it can be used with any Genotype). More...
#include <AlgElimination.h>
Public Member Functions | |
bool | advanceGeneration (StateP state, DemeP deme) |
Perform a single generation on a single deme. | |
bool | initialize (StateP state) |
Initialize the algorithm, read parameters from the system, do a sanity check. | |
void | registerParameters (StateP state) |
Register algorithm's parameters (if any). | |
Protected Attributes | |
double | genGap_ |
generation gap | |
double | selPressure_ |
selection pressure | |
SelFitnessProportionalOpP | selFitPropOp |
SelRandomOpP | selRandomOp |
SelBestOpP | selBestOp |
Elimination (generation gap) algorithm with roulette wheel elimination selection operator
This algorithm is genotype independent (it can be used with any Genotype).
The algorithm flow:
single generation { eliminate (genGap * deme_size) individuals from current generation (inverse fitness proportional selection operator); create new individuals with crossover (random selection); perform mutation on new generation; }
Definition at line 25 of file AlgElimination.h.
bool Elimination::advanceGeneration | ( | StateP | , | |
DemeP | ||||
) | [virtual] |
Perform a single generation on a single deme.
Must be implemented by a specific algorithm class
Implements Algorithm.
Definition at line 49 of file AlgElimination.cpp.
bool Elimination::initialize | ( | StateP | ) | [virtual] |
Initialize the algorithm, read parameters from the system, do a sanity check.
Called by the system before the algorithm starts (Algorithm::advanceGeneration)
Reimplemented from Algorithm.
Definition at line 25 of file AlgElimination.cpp.
void Elimination::registerParameters | ( | StateP | ) | [virtual] |
Register algorithm's parameters (if any).
Called by the system before algorithm initialization (Algorithm::initialize)
Reimplemented from Algorithm.
Definition at line 16 of file AlgElimination.cpp.