Using LLM for Automatic Evolvement of Metaheuristics from Swarm Algorithm SOMA

Author:

Pluhacek Michal1ORCID,Kovac Jozef1ORCID,Viktorin Adam1ORCID,Janku Peter1ORCID,Kadavy Tomas1ORCID,Senkerik Roman2ORCID

Affiliation:

1. Tomas Bata University in Zlin, Zlin, Czech Republic

2. Tomas Bata University, Zlin, Czech Republic

Publisher

ACM

Reference16 articles.

1. Christian L. Camacho-Villalón, Marco Dorigo, and Thomas Stützle. 2022. Exposing the grey wolf, moth-flame, whale, firefly, bat, and antlion algorithms: six misleading optimization techniques inspired by bestial metaphors. International Transactions in Operational Research (2022). Publisher: Wiley Online Library.

2. Designing New Metaheuristics: Manual Versus Automatic Approaches

3. Metaheuristics: a comprehensive overview and classification along with bibliometric analysis

4. Sequential modelbased optimization for general algorithm configuration. In Learning and Intelligent Optimization: 5th International Conference;Hutter Frank;LION 5, Rome, Italy,2011

5. ParamILS: An Automatic Algorithm Configuration Framework

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