Evolutionary library (No longer maintained)

Some evolutionary algorithms written in C++:

• Genetic Algorithm (GA)
• Multi-objective Evolutionary Algorithm (MOEA)
• Artificial Immune System (AIS)
• Feed forward Neural Networks with Backpropagation Learning (NN BP)
• Recurrent Neural Networks with Backpropagation Through Time learning method (rNN BPTT)

Source code is in src and there are two examples under examples directory:

• nn contains a main file to run the algorithms of the neural networks and an example of data files
• tsp contains an example of the travel salesman problem (TSP) solved with AIS and GA with different crossovers and mutation operators.

This code was used for some papers:

• [Evolutionary genetic algorithms in a constraint satisfaction problem: Puzzle Eternity II] (https://e-archivo.uc3m.es/handle/10016/9789)
• [Multi-objective evolution for car setup optimization ] (https://e-archivo.uc3m.es/handle/10016/9902)
• [Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity II] (https://e-archivo.uc3m.es/handle/10016/9915)
• [Controller for TORCS created by imitation] (https://e-archivo.uc3m.es/handle/10016/9786)
• [Towards gaze-controlled platform games] (https://www.itu.dk/~yannakakis/Munoz_CIG11.pdf)

License

Copyright 2010-2015 Jorge Muñoz Fuentes

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.