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lib4neuro
Commit 8770eecd authored by Martin Beseda's avatar Martin Beseda
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FIX: Fixed several problems in Particle Swarm optimization.

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Makefile
View file @ 8770eecd
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......@@ -39,19 +39,19 @@ cmake_force:
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CMAKE_SOURCE_DIR = /home/martin/4Neuro
# The top-level build directory on which CMake was run.
CMAKE_BINARY_DIR = /home/fluffymoo/4NEURO_BIATCH/4Neuro
CMAKE_BINARY_DIR = /home/martin/4Neuro
#=============================================================================
# Targets provided globally by CMake.
......@@ -59,7 +59,7 @@ CMAKE_BINARY_DIR = /home/fluffymoo/4NEURO_BIATCH/4Neuro
# Special rule for the target rebuild_cache
rebuild_cache:
@$(CMAKE_COMMAND) -E cmake_echo_color --switch=$(COLOR) --cyan "Running CMake to regenerate build system..."
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......@@ -70,7 +70,7 @@ rebuild_cache/fast: rebuild_cache
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......@@ -80,9 +80,9 @@ edit_cache/fast: edit_cache
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$(CMAKE_COMMAND) -E cmake_progress_start /home/martin/4Neuro/CMakeFiles /home/martin/4Neuro/CMakeFiles/progress.marks
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......@@ -383,6 +383,19 @@ particle_test/fast:
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#=============================================================================
# Target rules for targets named NeuralNetworkSum_test
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$(MAKE) -f CMakeFiles/Makefile2 NeuralNetworkSum_test
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# Help Target
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......@@ -412,6 +425,7 @@ help:
@echo "... errorfunction_test"
@echo "... linear_neuron_test"
@echo "... particle_test"
@echo "... NeuralNetworkSum_test"
.PHONY : help
......
build.sh
View file @ 8770eecd
......@@ -69,7 +69,7 @@ case `uname -s` in
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#make install;
cmake_install.cmake deleted 100644 → 0
View file @ 2d89622a
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src/DataSet/DataSet.cpp
View file @ 8770eecd
......@@ -30,6 +30,16 @@ DataSet::DataSet(std::vector<std::pair<std::vector<double>, std::vector<double>>
//TODO check the complete data set for input/output dimensions
}
DataSet::DataSet(double lower_bound, double upper_bound, unsigned int size, double output) {
std::vector<std::pair<std::vector<double>, std::vector<double>>> new_data_vec;
this->data = new_data_vec;
this->n_elements = size;
this->input_dim = 1;
this->output_dim = 1;
this->add_isotropic_data(lower_bound, upper_bound, size, output);
}
void DataSet::add_data_pair(std::vector<double> inputs, std::vector<double> outputs) {
if(inputs.size() != this->input_dim) {
throw InvalidDimension("Bad input dimension.");
......@@ -41,6 +51,23 @@ void DataSet::add_data_pair(std::vector<double> inputs, std::vector<double> outp
this->data.emplace_back(std::make_pair(inputs, outputs));
}
void DataSet::add_isotropic_data(double lower_bound, double upper_bound, unsigned int size, double output) {
if(this->input_dim != 1 || this->output_dim != 1) {
throw InvalidDimension("Cannot add data with dimensionality 1:1 when the data set "
"is of different dimensionality!");
}
double frac = (upper_bound - lower_bound) / (size - 1);
std::vector<double> inp, out;
out = {output};
for(unsigned int i = 0; i < size; ++i){
inp = {frac*i};
this->data.emplace_back(std::make_pair(inp, out));
}
}
std::vector<std::pair<std::vector<double>, std::vector<double>>>* DataSet::get_data() {
return &(this->data);
}
......
src/DataSet/DataSet.h
View file @ 8770eecd
......@@ -149,6 +149,22 @@ public:
*/
DataSet(std::vector<std::pair<std::vector<double>, std::vector<double>>>* data_ptr);
/**
* Creates a new data set with input values equidistantly positioned
* over the certain interval and the output value
* being constant
*
* Both input and output are 1-dimensional
*
* @todo add bounds as vectors for multi-dimensional data-sets
*
* @param lower_bound Lower bound of the input data interval
* @param upper_bound Upper bound of the input data interval
* @param size Number of input-output pairs generated
* @param output Constant output value
*/
DataSet(double lower_bound, double upper_bound, unsigned int size, double output);
/**
* Getter for number of elements
* @return Number of elements in the data set
......@@ -181,6 +197,23 @@ public:
*/
void add_data_pair(std::vector<double> inputs, std::vector<double> outputs);
//TODO expand method to generate multiple data types - chebyshev etc.
/**
* Adds a new data with input values equidistantly positioned
* over the certain interval and the output value
* being constant
*
* Both input and output are 1-dimensional
*
* @param lower_bound Lower bound of the input data interval
* @param upper_bound Upper bound of the input data interval
* @param size Number of input-output pairs generated
* @param output Constant output value
*/
void add_isotropic_data(double lower_bound, double upper_bound, unsigned int size, double output);
//TODO Chebyshev - ch. interpolation points, i-th point = cos(i*alpha) from 0 to pi
/**
* Prints the data set
*/
......
src/LearningMethods/ParticleSwarm.cpp
View file @ 8770eecd
......@@ -5,9 +5,6 @@
* @date 2.7.18 -
*/
#include <cmath>
#include <set>
#include <stdexcept>
#include "ParticleSwarm.h"
#include "../ErrorFunction/ErrorFunctions.h"
......@@ -35,6 +32,7 @@ Particle::Particle(ErrorFunction* ef, double *domain_bounds) {
// this->r2 = (rand() % 100001) / (double) 100000;
this->r1 = 1.0;
this->r2 = 1.0;
this->r3 = 1.0;
this->optimal_coordinate = new double[this->coordinate_dim];
......@@ -72,20 +70,24 @@ double* Particle::get_coordinate() {
return this->coordinate;
}
double Particle::get_current_value() {
return this->current_val;
}
double Particle::get_optimal_value() {
return this->optimal_value;
}
void Particle::get_optimal_coordinate(double *ref_coordinate) {
void Particle::get_optimal_coordinate(std::vector<double> &ref_coordinate) {
for( unsigned int i = 0; i < this->coordinate_dim; ++i ){
ref_coordinate[i] = this->optimal_coordinate[i];
}
}
double Particle::change_coordinate(double w, double c1, double c2, double *glob_min_coord, double penalty_coef) {
double Particle::change_coordinate(double w, double c1, double c2, std::vector<double> glob_min_coord, std::vector<std::vector<double>> global_min_vec, double penalty_coef) {
/**
* v = w * v + c1r1(p_min_loc - x) + c2r2(p_min_glob - x)
* v = w * v + c1r1(p_min_loc - x) + c2r2(p_min_glob - x) + c3r3(random_global_min - x)
* x = x + v
*/
......@@ -93,8 +95,22 @@ double Particle::change_coordinate(double w, double c1, double c2, double *glob_
double output;
bool in_domain;
double compensation_coef = 1;
/* Choose random global minima */
std::vector<double> random_global_best(this->coordinate_dim);
std::random_device rand_dev;
std::mt19937 engine{rand_dev()};
std::uniform_int_distribution<int> dist(0, global_min_vec.size() - 1);
random_global_best = global_min_vec[dist(engine)];
// TODO use std::sample to choose random vector
//std::sample(global_min_vec.begin(), global_min_vec.end(), std::back_inserter(random_global_best), 1, std::mt19937{std::random_device{}()});
for(unsigned int i = 0; i < this->coordinate_dim; ++i){
vel_mem = w * this->velocity[i] + c1 * this->r1 * (this->optimal_coordinate[i] - this->coordinate[i]) + c2 * this->r2 * (glob_min_coord[i] - this->coordinate[i]);
vel_mem = w * this->velocity[i]
+ c1 * this->r1 * (this->optimal_coordinate[i] - this->coordinate[i])
+ c2 * this->r2 * (glob_min_coord[i] - this->coordinate[i])
+ (c1+c2)/2 * this->r3 * (random_global_best[i] - this->coordinate[i]);
do{
if (this->coordinate[i] + vel_mem > this->domain_bounds[2 * i + 1]) {
......@@ -118,6 +134,7 @@ double Particle::change_coordinate(double w, double c1, double c2, double *glob_
}
vel_mem = this->ef->eval(this->coordinate);
this->current_val = vel_mem;
if(vel_mem < this->optimal_value){
this->optimal_value = vel_mem;
......@@ -149,6 +166,8 @@ ParticleSwarm::ParticleSwarm(ErrorFunction* ef, double *domain_bounds,
this->c2 = c2;
this->c3 = (c1 + c2)/2.0;