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Author

Ravil Mussabayev

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Review Open access Sep 2026

Optimizing K-Means Clustering for Big Data: A Review

A comparative analysis of optimization techniques for the minimum sum-of-squares clustering (MSSC) problem in the context of big data reveals that no method is universally preferable and that greater algorithmic complexity does not by itself ensure a better practical trade-off.

Ravil Mussabayev, R. Mussabayev · 0 citations
Book Open access Jul 2026

Evolving Multi-Agent Systems with Large Language Models: Surrogate Fitness Limitations and Empirical Insights

We investigate the use of large language models (LLMs) as evolutionary operators for optimizing the architecture of multi-agent systems (MAS) - a representative instance of LLM-driven optimization over attributed-graph artifacts that arise in generative design. Given a task description, an initial MAS configuration is...

V. Akhmerov, Dmitry Gilemkhanov, Jerzy Kamiński et al. · 0 citations

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