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cs.NE2026
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…
cs.AI2026
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…