Mahdi Nazeri
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I am a DPhil student reading Computer Science at the University of Oxford - in a joint program with the Max Planck Institute for Software Systems.

Previously, I graduated from Isfahan University of Technology with two Bachelors of Science, one in Electrical Engineering (Control Systems) and another in Computer Engineering (Intelligent Systems), where I had the incredible opportunity to work with Professor Iman Izadi.

Publications

graph-burning

A centrality based genetic algorithm for the graph burning problem

Mahdi Nazeri — Ali Mollahosseini — Iman Izadi Applied Soft Computing BibTeX | Elsevier | arXiv | Code

In this paper, we propose an efficient genetic algorithm called Centrality BAsed Genetic-algorithm (CBAG) for solving the graph burning problem. Considering the unique characteristics of the graph burning problem, we introduce novel genetic operators, chromosome representation, and evaluation method. Based on the results, it can be seen that the proposed algorithm achieves better performance in comparison to the previous state-of-the-art heuristics.