ga_benchmarks.cpp File Reference

Genetic Algorithm benchmark suite with visualization. More...

#include "apps/benchmarks.hpp"
#include <cmath>
#include <cstdint>
#include <sstream>
#include <filesystem>

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Functions
static std::string	makeFrameName (const std::string &baseName, size_t iter)
	Generate frame filename for GA population evolution.
static void	savePopulationFrame2D (const std::string &baseName, size_t iter, const std::vector< opt::GA::Individual > &pop)
	Save population snapshot for 2D visualization.
static void	savePopulationFrame3D (const std::string &baseName, size_t iter, const std::vector< opt::GA::Individual > &pop)
void	runSphereTest (opt::GA &ga, const opt::Coordinates &lower, const opt::Coordinates &upper)
void	runBoundaryTest (opt::GA &ga, const opt::Coordinates &lower, const opt::Coordinates &upper)
void	runRastriginTest (opt::GA &, int dim)
void	runVisualGABenchmark ()
void	runVisualGA3DBenchmark ()
void	runOptimizationBenchmarksGA ()

Detailed Description

Genetic Algorithm benchmark suite with visualization.

Comprehensive testing of GA performance with frame-based animation support:

Features:

• Multi-problem benchmark suite (sphere, Rastrigin, Rosenbrock, Ackley)
• Population evolution visualization via frame snapshots
• Real-time convergence tracking
• Comparative analysis of GA vs PSO

Test Problems:

1. Sphere: f(x,y) = x² + y², easy unimodal problem
2. Rastrigin: Highly multimodal, 25+ local minima in [-5.12, 5.12]²
3. Rosenbrock: Long narrow valley, requires fine-tuning
4. Ackley: Many local minima with large global basin

Visualization:

• Frame output saved to ga_frames/ subdirectory
• Each iteration generates population snapshot
• Files named: baseName_iter_0.dat, baseName_iter_1.dat, etc.
• Ready for gnuplot animation script generation

See also

GA, Optimizer, OptimizationMode

Definition in file ga_benchmarks.cpp.

Function Documentation

makeFrameName()

static std::string makeFrameName ( const std::string &  baseName, size_t  iter  )

static

Generate frame filename for GA population evolution.

Parameters

baseName	Base name for output files
iter	Iteration/generation number

Returns

Filename formatted as: baseName_iter_N.dat

Definition at line 48 of file ga_benchmarks.cpp.

runBoundaryTest()

void runBoundaryTest	(	opt::GA &	ga,
		const opt::Coordinates &	lower,
		const opt::Coordinates &	upper
	)

Definition at line 146 of file ga_benchmarks.cpp.

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runOptimizationBenchmarksGA()

void runOptimizationBenchmarksGA

(

)

Definition at line 352 of file ga_benchmarks.cpp.

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runRastriginTest()

void runRastriginTest	(	opt::GA &	,
		int	dim
	)

Definition at line 191 of file ga_benchmarks.cpp.

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runSphereTest()

void runSphereTest	(	opt::GA &	ga,
		const opt::Coordinates &	lower,
		const opt::Coordinates &	upper
	)

Definition at line 109 of file ga_benchmarks.cpp.

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runVisualGA3DBenchmark()

void runVisualGA3DBenchmark

(

)

Definition at line 299 of file ga_benchmarks.cpp.

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runVisualGABenchmark()

void runVisualGABenchmark

(

)

Definition at line 251 of file ga_benchmarks.cpp.

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savePopulationFrame2D()

static void savePopulationFrame2D ( const std::string &  baseName, size_t  iter, const std::vector< opt::GA::Individual > &  pop  )

static

Save population snapshot for 2D visualization.

Parameters

baseName	Base filename for frame output
iter	Current iteration/generation
pop	Vector of individuals (genome + fitness)

Saves population positions to ga_frames/baseName_iter_N.dat for gnuplot animation or analysis. Each line: x y (first two coordinates).

Definition at line 63 of file ga_benchmarks.cpp.

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savePopulationFrame3D()

static void savePopulationFrame3D ( const std::string &  baseName, size_t  iter, const std::vector< opt::GA::Individual > &  pop  )

static

Definition at line 85 of file ga_benchmarks.cpp.

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