AI - GA IN A MULTI-AGENT SYSTEM

Abstract: This is an application of GA (Genetic Algorithm) in a Multi-Agent System. ORGANISMS (BLUE) are going to evolve over generations (represented by a background color change) and learn how to eat FOOD (GREEN) and avoid POISON (RED). Stats are generated dinamically during execution in the bottom. It's possible to tune the parameters only before starting the simulation. Tuning needs to be taken with delicacy since a severe tuning against the Organisms may extinct the whole population prematurely. Note: Framerate Option is work in progress so don't use it for obtaining data. Also, the app is meant to run ONLY on Google Chrome.

PARAMETERS CURRENT VALUE
Cur. Max Fitness:
Generation:
STOP CONDITIONS CURRENT VALUE INPUT
Max Generations:
Max Fitness:
PARAMETERS INPUT
Framerate (60 / 60):
Start Simulation:
Freeze Simulation:
Stop Simulation:
PARAMETERS CURRENT VALUE INPUT
Population size:
Elitism:
Mutation rate:
Food spawn rate:
Poison spawn rate:


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BY LUCA CESARANO