What's the point?
By using a genetic algorithm, we should find the optimal movement solution for the bugs to find the maximum amount of food.
You will see definite patterns emerge in movement.
- Click 'stats' to see the population's improvement.
- Click on individual bugs to see their genes and stats
How it works
World is created and populated with food (green dots).
More food grows over time.
A random seed of bugs (yellow blobs) are created.
Each 'tick' that passes, the bugs will either move in a direction or stay still
Bugs have a set of 9 'genes' 11-22-33-44-55-66-77-88-99
The genes determine the bugs odds to:
- Move up
- Move up-right
- Move right
- Move right-down
- Move down
- Move down-left
- Move left
- Move left-up
- Chance to actually even bother moving
on each 'tick' of the simulation. Initial genes are randomly assigned.
A bug has starting 'energy'.
A small amount of energy is removed every 'tick' of the simulation
A larger amount of energy is removed if the bug moves
Energy is added if a bug bumps into (consumes) food
As energy decreases the dark ball inside the bug shrinks
As energy increases the dark ball inside the bug grows
If the bug reaches 0 energy, it dies.
If the bug reaches double its starting energy it 'reproduces' - meaning it instantly makes a copy of itself with the chance of a random mutation to one of the values of its 9 genes.
There is a very small chance of a large mutation.
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