AI RESEARCH
Discover Fast Power Allocation Solution for Multi-Target Tracking via AlphaEvolve Evolution
arXiv CS.AI
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ArXi:2605.01794v1 Announce Type: cross Efficient radar resource allocation is a fundamental yet computationally challenging problem, as optimal solutions typically require iterative optimization with high complexity. Motivated by the need for real-time scheduling, robust generalization, and low data dependency, this paper proposes a novel paradigm that leverages large language model (LLM)-guided evolutionary search (AlphaEvolve) to autonomously discover a closed-form power allocation solution for multi-target tracking.