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LLM-enhanced-EA-driven automated optimization framework for joint indoor deployment of multiple BSs and RISs

Aug 2026 · Science China Information Sciences · Vol 69 · 1 citation · 37 references

TL;DR

This work uses the large language model (LLM)-enhanced non-dominated sorting genetic algorithm II (NSGA-II) to directly solve the bi-objective optimization problem, assisted by an LLM to enhance its concentrated exploration capability by extending the exploration in language space.

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