drone_track::DroneTrack Class Reference

Domain: Drone Track. More...

#include <domain.h>

Inheritance diagram for drone_track::DroneTrack:

Public Member Functions
size_t	inputs () const override
	Number of inputs to a Brain.
size_t	outputs () const override
	Number of outputs from a Brain.
bool	evaluatePopulation (darwin::Population *population) const override
	Assigns fitness values to every genotype. More...
Public Member Functions inherited from darwin::Domain
virtual unique_ptr< core::PropertySet >	calibrateGenotype ([[maybe_unused]] const Genotype *genotype) const
	Optional: additional fitness metrics (normally not used in the population evaluation, ie a test set)

Detailed Description

Domain: Drone Track.

Race around a procedurally generated track, using the drone sensors (camera, ...)

Inputs

1. Camera: the color (and optionally depth) channels from the drone's camera
2. Touch sensor (optional)
3. Compass (optional)
4. Accelerometer (optional)

Outputs

Output	Value
0,1	force vector (x, y) applied to the drone
2	torque applied to turn the drone

Member Function Documentation

evaluatePopulation()

bool drone_track::DroneTrack::evaluatePopulation ( darwin::Population *  population ) const

overridevirtual

Assigns fitness values to every genotype.

Having a good fitness function is a key part of evolutionary algorithms:

• Perhaps obvious, the fitness value should accurately estimate the quality of a particular solution
• A "smooth" distribution is preferable since it provides a gradient which can guide the incremental search in the solutions space. (ex. if most fitness values are 1.0 or 0.0 it's hard to know which genotypes are good candidates for reproduction)

Returns

true if the evolution goal was reached

Implements darwin::Domain.

---

The documentation for this class was generated from the following files:

• C:/Users/lemo/work/darwin/domains/drone_track/domain.h
• C:/Users/lemo/work/darwin/domains/drone_track/domain.cpp