Author

Michal Pluháček

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Book Open access Jul 2026

LLM-Guided Discovery of Complementary Metaheuristic Operators with Adaptive Composition on the GNBG Benchmark

The method begins with generation of candidate algorithms, followed by LLM-guided selection of impactful operators, iterative construction of specialized operator variants, and final synthesis of an adaptive optimizer.

Paweł Kolendo, Michal Pluháček · GECCO Companion · 0 citations

Book Open access Jul 2026

Could LLMs Predict Algorithm Performance in Automated Design of Metaheuristics?

Findings indicate that while LLM-based performance prediction is not yet a reliable substitute for benchmarking, it shows potential as a complementary pre-screening tool in iterative algorithm design, particularly in settings where code modifications follow predictable patterns.

Michal Pluháček, Paweł Kolendo, Krzysztof Tylka-Suleja et al. · GECCO Companion · 0 citations

Book Open access Jul 2026

Claude and Gemini Design Metaheuristics: A Cooperative Multi-LLM Approach

It is argued that model diversity is a usable, low-cost resource for LLM-driven algorithm design.

Michal Pluháček, Paweł Kolendo, Krzysztof Tylka-Suleja et al. · Proceedings of the Genetic a... · 0 citations