#include <parallel_swarm_search.hpp>

Inheritance diagram for pass::parallel_swarm_search:

Collaboration diagram for pass::parallel_swarm_search:

Public Member Functions
	parallel_swarm_search () noexcept

virtual optimise_result	optimise (const pass::problem &problem)

Public Member Functions inherited from pass::optimiser
	optimiser (const std::string &name)

Public Attributes
arma::uword	swarm_size

double	inertia

double	cognitive_acceleration

double	social_acceleration

double	neighbourhood_probability

Public Attributes inherited from pass::optimiser
double	acceptable_fitness_value

arma::uword	maximal_iterations

arma::uword	maximal_evaluations

std::chrono::nanoseconds	maximal_duration

const std::string	name

Detailed Description

Implements "Parallel Swarm Search" - a new Algorithm basen on the Standard Particle Swarm Optimisation 2011 algorithm (http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6557848)

The initialisation variables can be found in (http://clerc.maurice.free.fr/pso/SPSO_descriptions.pdf)

Constructor & Destructor Documentation

◆ parallel_swarm_search()

pass::parallel_swarm_search::parallel_swarm_search ( )

noexcept

Initializes an object of this type.

Member Function Documentation

◆ optimise()

pass::optimise_result pass::parallel_swarm_search::optimise ( const pass::problem & problem )

virtual

Optimises problem, storing the result and performance characteristics of the optimisation in the returned optimise_result.

Implements pass::optimiser.

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Member Data Documentation

◆ cognitive_acceleration

double pass::parallel_swarm_search::cognitive_acceleration

Particles are pulled towards their personal best found parameter with a strength

Is initialized to 0.5 + log(2).

◆ inertia

double pass::parallel_swarm_search::inertia

Controls the inertia of the particles:

Is initialized to 1 / (2 * log(2)).

◆ neighbourhood_probability

double pass::parallel_swarm_search::neighbourhood_probability

Probability of a particle to be in the neighbourhood of another particle. Must be in range [0, 1].

Is initialized to 1 - (1 - 1/population_size)^3. Based on Clerc description (Method 2) http://clerc.maurice.free.fr/pso/random_topology.pdf

◆ social_acceleration

double pass::parallel_swarm_search::social_acceleration

Particles are pulled towards the global best found parameter with a strength

Is initialized to 0.5 + log(2).

◆ swarm_size

arma::uword pass::parallel_swarm_search::swarm_size

The number of particles used during optimisation.

Is initialized to 40.

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

/Users/romeo/Desktop/PASS/include/pass_bits/optimiser/parallel_swarm_search.hpp
/Users/romeo/Desktop/PASS/src/optimiser/parallel_swarm_search.cpp

Public Member Functions

Public Attributes