12 citations · 13 across the 6 of their papers we have counts for
8 papers
From Hand-Crafted to LLM-Based Variation Operators in Metaheuristics: A Tutorial
Camilo Chacón Sartori, Guillem Rodríguez-Corominas, Christian Blum
Large language models (LLMs) are increasingly being employed as variation operators in metaheuristics, generating or modifying candidate solutions, heuristics, or programs inside i…
Transferable knowledge graphs with executable learned operators for algorithm design
Camilo Chacón Sartori, José H. García, Andrei Voicu Tomut +1
Procedural knowledge in algorithm design is embedded in source code and rebuilt for each new domain. We introduce Generative Executable Algorithm Knowledge Graphs (GEAKG), a repres…
irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution
Camilo Chacón Sartori, Christian Blum
Automatic algorithm configuration tools such as irace efficiently tune parameter values but leave algorithmic code unchanged. This paper introduces a first version of irace-evo, an…
Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms
Camilo Chacón Sartori, Christian Blum
Large Language Models (LLMs) have shown notable potential in code generation for optimization algorithms, unlocking exciting new opportunities. This paper examines how LLMs, rather…
Improving Existing Optimization Algorithms with LLMs
Camilo Chacón Sartori, Christian Blum
The integration of Large Language Models (LLMs) into optimization has created a powerful synergy, opening exciting research opportunities. This paper investigates how LLMs can enha…
VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models
Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa
The fast advancement of Large Vision-Language Models (LVLMs) has shown immense potential. These models are increasingly capable of tackling abstract visual tasks. Geometric structu…
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa +1
Since the rise of Large Language Models (LLMs) a couple of years ago, researchers in metaheuristics (MHs) have wondered how to use their power in a beneficial way within their algo…
Large Language Models for the Automated Analysis of Optimization Algorithms
Camilo Chacón Sartori, Christian Blum, Gabriela Ochoa
The ability of Large Language Models (LLMs) to generate high-quality text and code has fuelled their rise in popularity. In this paper, we aim to demonstrate the potential of LLMs…