aducret / ai-systems-genetic-algorithm

Practical Work for Artificial Intelligence Systems 2016 Course at ITBA

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Genetic Algorithm

The objective of this practical work was to implement a genetic algorithm which calculates the best solution to a problem, in our case the problem was determinate the best build of a RPG character.

For more details, statement of the practical work can be found at doc/statement/Sistemas_de_Inteligencia_Artificial__TPE3.pdf.

Setup

Bootstrap project

git clone git@bitbucket.org:itba/sia-2016-08.git
cd sia-2016-08

Build JAR

You need to install maven and then build the jar.

sudo apt-get -y install maven 
mvn clean package

Move the jar where you want and copy the tsv and txt files (configuration files, multipliers, heights and items).

cp target/ai_systems_genetic_algorithm-0.0.1-SNAPSHOT-jar-with-dependencies.jar ~/
cp doc/data/*.txt ~/
cp doc/data/*.tsv ~/

Run JAR

The first argument indicates the directory where the tsv and txt files are. The default value is ./ if you are running a jar or doc/data/ if you are running in eclipse.

cd ~
java -jar ./ai_systems_genetic_algorithm-0.0.1-SNAPSHOT-jar-with-dependencies.jar 

Configuration file

In the configuration file you can indicate the parameters for the algorithm. A example configuration file is added in doc/data/configuration.txt and the default configuration will be in doc/data/defaultConfiguration.txt. In case a parameter is missing, it will be loaded from the default configuration file.

Multipliers

The implementation approach of this problem is generic, so you can change the character multiplaiers from the doc/data/multipliers.txt file.

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Practical Work for Artificial Intelligence Systems 2016 Course at ITBA


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