Flies

A customizable evolutionary algorithm to get flies to food

The Goal

The goal of this program is to breed a fly(black) that can get to the 'food'(blue) without touching the walls(red) or the edges(edges) by using an Evolutionary Algorithim

Controls

Reward

The amount that is multiplied to the fly's score when it touches te food

Punishment

The amount that the fly's is divided by when they hit the wall or edges

Speed

How fast the flies go

Population Size

How many flies there are NOTE: the more flies there are the laggier it gets.

Life Span

How long the generation lasts

Mutation Rate

How often a fly will Mutate

Run Experiment

Runs the experiment with the current settings

Reset Controls

Resets the values of the controls

Note that the way an Evolutionary Algorithim functions is not a good parenting technique.

How It Works

The evolutionary algorithim starts by creating [insert population size here] flies and then, every frame it points them in a random direction and pushes them. The amount that they get pushed depends on the speed setting. After they get pushed it checks to see if any of them hit any thing if they did it changes their score acordingly. Once the life time ofthat generation is over, it evaluates them. the way that it evaluates them is by seeing how high their scores are at the end. It then starts creating the next generation it does this by select ing two random flies(although the higher the score of the fly is the more likely it is to be picked and the two parents can be the same fly). and then goes through a list of all of their actions and chooses a random one. Once it has a full population it will then do the same thing again.