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Description:
pso
A Library for Particle Swarm Optimization
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);
}
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Details #
The objective function is always in the form of
double f(List<double> x){
}
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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)
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or
void iterateNWithParameters(int n, double w, double c1, double c2)
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in the class PSO.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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