Blind Class Reference

Implements a blind (random walk) optimization algorithm. More...

#include <Blind.h>

Inheritance diagram for Blind:

Public Member Functions
	Blind (std::shared_ptr< SolutionBuilder > solutionBuilder, std::shared_ptr< Problem > problem, int maxIterations)
	Constructs a Blind optimizer.
std::vector< double >	optimize () override
	Executes the blind optimization process.
Public Member Functions inherited from Optimizer
	Optimizer (std::shared_ptr< SolutionBuilder > solutionBuilder, std::shared_ptr< Problem > problem, int maxIterations)
	Constructs an Optimizer.
virtual	~Optimizer ()=default
	Virtual destructor for safe polymorphic deletion.
double	getBestFitness ()
std::vector< double > &	getBestSolution ()
std::vector< double > &	getBestFitnesses ()
std::vector< std::vector< double > > &	getSolutions ()
int	getMaxIterations ()
std::shared_ptr< Problem >	getProblem ()
std::shared_ptr< SolutionBuilder >	getSolutionBuilder ()

Additional Inherited Members
Protected Attributes inherited from Optimizer
std::shared_ptr< Problem >	problem
	Optimization problem definition.
std::shared_ptr< SolutionBuilder >	solutionBuilder
	Solution generation utility.
int	maxIterations
	Maximum number of iterations.
std::vector< double >	bestSolution
	Best solution found.
std::vector< double >	bestFitnesses
	Best fitness value so far per iteration.
std::vector< std::vector< double > >	solutions
	All generated solutions.

Detailed Description

Implements a blind (random walk) optimization algorithm.

The Blind optimizer repeatedly samples random solutions from the solution space without using neighborhood information or gradient guidance. It keeps track of the best solution found across all iterations.

This algorithm serves as a baseline for comparison against more informed local search techniques.

Constructor & Destructor Documentation

Blind()

Blind::Blind ( std::shared_ptr< SolutionBuilder > solutionBuilder, std::shared_ptr< Problem > problem, int maxIterations )

inline

Constructs a Blind optimizer.

Parameters

solutionBuilder	Reference to the solution generator.
problem	Reference to the optimization problem.
maxIterations	Maximum number of iterations to perform.

Member Function Documentation

optimize()

std::vector< double > Blind::optimize ( )

overridevirtual

Executes the blind optimization process.

Returns

Execution time of the algorithm.

Implements Optimizer.

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

• src/opti_py/cpp/include/opti_py/Optimizer/Blind.h
• src/opti_py/cpp/src/Optimizer/Blind.cpp