Dart CI

A Library for Particle Swarm Optimization

Created by Matletik - Mathematical Manipulatives and Interactive Learning Tools

http://www.matletik.com

Usage

A simple usage example:

import 'dart:math' as _math;
import 'package:pso/pso.dart';

double f(List<double> x){
  double s = 0.0;
  s = _math.pow(x[0] - 3.14159265, 2.0) + _math.pow(x[1] - 2.71828, 2.0);
  return -s;
}

void main() {
  List<double> mins = [-10, -10];
  List<double> maxs = [10, 10];

  PSO pso = PSO(f, 100, mins, maxs);
  pso.iterateN(500);

  Particle result = pso.findGBest();
  print(result);
}

Details

  • The objective function is always in the form of
double f(List<double> x){
  
}
  • The optimization is always a maximation. If the objective function of the problem is a minimization, the returned value of the objective function can be multiplied by -1.0.

  • The default parameters of the classical Particle Swarm Optimization are set to w = 0.5, c1 = 1.0, and c2 = 1.0. These optimization parameters can be customized in the

void iterateWithParameters(double w, double c1, double c2) 

or

void iterateNWithParameters(int n, double w, double c1, double c2) 

in the class PSO.

Libraries

pso
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