https://github.com/jbytecode/pso

Particle Swarm Optimization in Dart
https://github.com/jbytecode/pso

Last synced: 2 months ago
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Particle Swarm Optimization in Dart

• Host: GitHub
• URL: https://github.com/jbytecode/pso
• Owner: jbytecode
• License: mit
• Created: 2020-02-23T09:50:06.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-06-21T19:02:28.000Z (6 months ago)
• Last Synced: 2024-09-28T09:25:48.007Z (3 months ago)
• Language: Dart
• Size: 29.3 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
![Dart CI](https://github.com/jbytecode/pso/workflows/Dart%20CI/badge.svg)

A Library for Particle Swarm Optimization

## Usage

A simple usage example:

```dart

import 'dart:math' as _math;

import 'package:pso/pso.dart';

double f(List 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 mins = [-10, -10];

  List 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

```dart

double f(List 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 

```dart

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

```

or

```dart

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

```

in the class *PSO*.