Scientific Articles

(*) First author

Preprints (4)

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm

August 2025 - SSRN

Camilo Chacón Sartori(*), Martín Isla, Pedro Pinacho, and Christian Blum.

Improving Existing Optimization Algorithms with LLMs

February 2025 - arXiv

Camilo Chacón Sartori(*), Christian Blum.

Journal Articles (3)

Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach

2025 - IEEE Access

Camilo Chacón Sartori(*), Christian Blum, Filippo Bistaffa, and Guillem Rodríguez Corominas.

Code →

STNWeb: A new visualization tool for analyzing optimization algorithms

2023 - Software Impacts

Camilo Chacón Sartori(*), Christian Blum, Gabriela Ochoa.

Code →

Conference Articles (6)

Large Language Models for the Automated Analysis of Optimization Algorithms

2024 - GECCO '24 (Core A)

Camilo Chacón Sartori(*), Christian Blum, Gabriela Ochoa.

STNWeb for the Analysis of Optimization Algorithms: A Short Introduction

2024 - MIC

Camilo Chacón Sartori(*), Christian Blum.

Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection

2023 - GECCO '23 (Core A)

Jairo Enrique Ramírez Sánchez, Camilo Chacón Sartori, Christian Blum.

Boosting a Genetic Algorithm with Graph Neural Networks for Multi-Hop Influence Maximization in Social Networks

2022 - FedCSIS (Core B) - Best Paper Award

Camilo Chacón Sartori(*), Christian Blum.