Project for Natural Computing

• Simulating and evolving fish schools in environment with predators and food

• by Ondřej Huvar, Tomáš Kalabis, Ariyan Tufchi

Project structure

This repository contains all code, results and instructions regarding the project.

Our code consists mainly of:

• simulation - main.cpp
• evolution - evolution.py
• visualization - visualize.js, index.html, style.css

To make running installation and running easier, we provide:

• Makefile and CMakeLists.txt for the simulation compiling (see next section)
• simulation binary pre-compiled for Linux (Ubuntu-20.0 WSL)
• log output.json of the simulation that can be used to run the visualization directly

Our results are present in results directory. Each set of experiments has its own subfolder with all the evolution logs, sometimes even overviews. The directory also contains several GIF animations of various strategies in animations subfolder.

Installation and running

All of the code is developed and tested on WSL2 for Windows and on Linux.

C++ simulation

First, you will need C++ compiler, we use C++23. Next, install dependencies for the cpp program:

sudo apt update
sudo apt install nlohmann-json3-dev
sudo apt install libboost-all-dev

Following command then builds and runs the simulation.

make && ./cpp_simulation

You can also run the program with various arguments. Explore them like this:

./cpp_simulation --help

JS Visualization

You can simply use VS Code and just start the live server to run the visualization of the last simulation.

Python evolution

You will need Python interpreter, we use Python 3.10.11.

Simply run the evolution as

python3 evolution.py 

To explore all different parameters of the evolution, use

python3 evolution.py --help