Developed by @LeonardoCardoso.
This project is about the functionality of a genetic algorithm.
General Steps:
- Set a candidate solution
- Create a population
- Envolve this population until find the optimum solution
- Keep the fittest individual for the new population
- Cross over its individuals generating new individuals
- Mutate this new individuals
Contact me either by Twitter @leocardz or emailing me to contact@leocardz.com.
Copyright 2015 Leonardo Cardoso Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.