optima 0.1.0

A Collection of test functions for optimization algorithms providing Ackley's function, Rastrigin's function and others in n-dimensional versions.

Optima

A collection of test functions for optimization useful to evaluate characteristics of optimization algorithms, such as convergence rate, precision, robustness, general performance.

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Getting started

Add dependency

To use this library, add optima as a dependency in your pubspec.yaml file.

dependencies:
  optima: #latest version
  evolution: #latest version

Example:

Use optima to benchmark the differential evolution algorithm provided by package:evolution.

  import 'package:evolution/evolution.dart';
  import 'package:optima/optima.dart';

  void main() {

    // Optimize the sphere function using the unrestricted verion of the problem
    10.times((int i) {
      var ret = diff(4, 25, 10, 10, 25, i, 10000, 10.0, sphere100);
      print("Sphere100 - Trial Nr.: ${i} - f: ${ret.fitness()} - ag: ${ret}   ");
      return ret;
    });

    // Using the restricted verions of diff
    10.times((int i) {
      var ret = diff2(4, 25, 10, 10, 25, i, 10000, 10.0, sphere100, 50, 150);
      print(
          "Sphere100 (restricted) - Trial Nr.: ${i} - f: ${ret.fitness()} - ag: ${ret}   ");
      return ret;
    });

    // Optimize the ackley function using the unrestricted verion of the problem
    10.times((int i) {
      var ret = diff(4, 25, 10, 10, 25, i, 10000, 10.0, ackley100);
      print("Ackley100 - Trial Nr.: ${i} - f: ${ret.fitness()} - ag: ${ret}   ");
      return ret;
    });

    // Using the restricted verions of diff
    10.times((int i) {
      var ret = diff2(4, 25, 10, 10, 25, i, 10000, 10.0, ackley100, 50, 150);
      print(
          "Ackley100 (restricted) - Trial Nr.: ${i} - f: ${ret.fitness()} - ag: ${ret}   ");
      return ret;
    });
  }