Bio

Máté Csigi is an MSc student in electrical engineering at the Budapest University of Technology and Economics. His main research focus is network science, where he develops models generating random graphs; he also has a keen interest in the adaptive, evolutionary mechanisms of networks, and he is working on a model that could shed light on some of the most intriguing aspects of these processes. In his spare time, Máté really likes composing music and playing the piano.

Computational Essay: Random graph generation

Project: Genetic Algorithm Framework and the Evolution of Programs

Project Overview

I designed and implemented a GeneticAlgorithm function that can work automatically with some basic data structures, but any type of object can be used as the basis of evolution by specifying how these entities are meant to be evolved. As a second part of my project, I applied these evolutionary methods to evolve Wolfram Language code to generate algorithms based on a high-level description of the problem.