EASE-ing into Global Optimization with LLMs A competition entry on LLM-designed Evolutionary Algorithms at The Genetic and Evolutionary Computation Conference (GECCO) 2025
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F25%3A63599938" target="_blank" >RIV/70883521:28140/25:63599938 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3712255.3735096" target="_blank" >http://dx.doi.org/10.1145/3712255.3735096</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3712255.3735096" target="_blank" >10.1145/3712255.3735096</a>
Alternative languages
Result language
angličtina
Original language name
EASE-ing into Global Optimization with LLMs A competition entry on LLM-designed Evolutionary Algorithms at The Genetic and Evolutionary Computation Conference (GECCO) 2025
Original language description
This paper presents an extended abstract describing an entry into the LLM for evolutionary algorithms tailored benchmarking competition using a GNBG-generated test suite. This study explores the generative design of optimization algorithms using large language models (LLMs) within the EASE modular framework, which supports iterative prompting and feedback-driven refinement. Across five successive generations, we observed a progressive transformation in algorithmic structure. The findings suggest opportunities for further research into the role of prompt design, feedback phrasing, and framework architecture in guiding the emergence of more task-adaptive, domain-specialized algorithmic behavior.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PROCEEDINGS OF THE 2025 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2025 COMPANION
ISBN
979-8-4007-1464-1
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
7-8
Publisher name
Association for Computing Machinery, Inc
Place of publication
New York
Event location
Malaga
Event date
Jul 14, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001564494900004