1. Aditya Shetty *with applied heuristics
Random Diffusion Limited Aggregation to simulate a Cellular Environment *
Aditya Shetty
*with applied heuristics

2. simulation explanation
2 files: diffusion_limited_aggregation2D_alt.m and determine_movement_alt.m. Run diffusion_limited_aggregation2D_alt.m with other file in same folder
“Phyto”
An autotrophic, solar-powered producer. It’s “goal” is to grow towards light. Every time step, one additional phyto is created through random Diffusion-Limited Aggregation models.
“Bacterium”
Gains energy by feeding on producers. Population increases from “harvesting” enough energy, and decreases by failing to increase energy. Movement is based on random probability, with special behavior for feeding.
“Multi”
Eliminates bacteria and is unaffected by energy of the system. Population remains at fixed random integer. Movement is based on random probability, with special behavior for feeding.

3. The model allows for the simulation of a light-source which affects the probability of growth in a direction. In this scenario, the light-source is on the top right.
Initial Parameters:
Refresh-Rate: 20 timesteps
Timesteps: 2000
Bacterium Increase: 30 energy
Bacterium decrease: 4 turns
Initial Phyto: 100
Initial Bacteria: 37
Initial Multi: 37

4. Final Statistics: Bonus: Total Bacteria Destroyed: 147
Final Bacteria Count: 87
Thanks for watching!
Bonus:
Low Bacterium Increase(3 energy) - left
High Bacterium Increase(100 energy) - right