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Genetic-Algorithm

Proyect developed in Java 1.8 to solve optimization problems minimizing cost/fitness function associated by user.

Introduction

This proyect was originally create for optimizing several metrics in a maritime environment. The parameters of this tool was coded to represent all of metrics in a binary genome of size 14.

Execution

At the top of Main.class, the next parameters must be modified depending of the problem:

  • populationSize: number of individuals in population.
  • tourSize: number of inidivuals that compete in tournaments.
  • n_iter: number of iterations.
  • geneLength: lenght of gen. It is fix by the problem.
  • mutationRate: probability of one gen within a genome is changed by mutation method.
  • uniformRate: probability of one gen within a genome is inherited by its "father" or its "mother".

Futhermore, it is necessary to define cost/fitness function (in "INSERT YOUR CODE HERE" comments) depending on the problem that you want to solve.