gplib::SimpleSelect Class Reference
[Genetic algorithm optimization]
This is a relatively simple selection scheme for the genetic algorithms.
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#include <SimpleSelect.h>
Inheritance diagram for gplib::SimpleSelect:
Public Member Functions | |
| SimpleSelect (GeneralRNG &LocalRandom, tProbabilityFunction myPF) | |
| The constructor needs a random number generator and a function that returns probabilities. | |
| virtual | ~SimpleSelect () |
Detailed Description
This is a relatively simple selection scheme for the genetic algorithms.This class implements a relatively simple, but efficient selection scheme. Each member is assigned the expected count from the probabilities returned by the Probability function rounded to full integers. The difference between the assigned count and the expected count without rounding is used as a probability to have an additional member in the new population.
Definition at line 19 of file SimpleSelect.h.
Constructor & Destructor Documentation
| gplib::SimpleSelect::SimpleSelect | ( | GeneralRNG & | LocalRandom, | |
| tProbabilityFunction | myPF | |||
| ) |
The constructor needs a random number generator and a function that returns probabilities.
The constructor takes two parameters
- Parameters:
-
LocalRandom A random number generator based on GeneralRNG myPF A pointer to a function that returns a vector with probabilities for each population member
Definition at line 8 of file SimpleSelect.cpp.
| gplib::SimpleSelect::~SimpleSelect | ( | ) | [virtual] |
Definition at line 15 of file SimpleSelect.cpp.
The documentation for this class was generated from the following files:
