Genetic Programming
Just a Playground Repo for my Genetic Programming experiments. I have no prior exprience with Genetic Programming and Algorithms.
- The development of this project was performed live on https://twitch.tv/tsoding.
- Every stream is archived on YouTube and can be found in this playlist.
- Highlights made by @kolumb: https://www.youtube.com/playlist?list=PL9aFTwX54fqWWCBuBUGzawg_E7SFwgDoz
Idea
- Write a simple game where agents are trying to survive in an environment fighting for food and with each other.
- The behaviour of a single agent is described with a Turing machine style state machine that we call Chromosomes.
- Use Genetic Algorithms to find an optimial behaviour that survives the longest.
Environment
TBD
Entities
TBD
Agents
State
TBD
Action
TBD
Chromosomes
TBD
Dependencies
Should be available on Windows, MacOS, and the majority of Linux distros.
Quick Start
$ make
$ ./gp_trainer 69 ./output.bin
$ ./gp_simulator ./output.bingp_trainer
Lets you select agents over several generations in a batch mode. The results can be simulated and inspected by gp_simulator and gp_inspector.
gp_simulator
Lets you interactively step through the simulation of the generation produced by gp_trainer.
Controls
Keyboard
| Key | Action |
|---|---|
| r | Generate completely new state of the game |
| n | Make a new generation based on the best performing agents |
| SPACE | Step the state of the game |
Mouse
- Clicking on agents (red triangles) dumps their state to stdout
gp_inspector
Lets you inspect generations produced by gp_trainer.