TRACE: Tackling Real-World Resource Assignment Problems via Agentic Heuristic Design
Dynamic resource assignment, the real-time allocation of task streams to heterogeneous processing nodes, is the backbone of modern computing infrastructure. While learning-based schedulers excel in research, industrial deployments still rely on hand-written rules that operators can read, audit, and execute within tight latency budgets. LLM-based Automatic Heuristic Design (AHD) promises to automate writing such rules. However, existing AHD frameworks were developed for combinatorial problems fully specified to the LLM, and they learn only from a scalar fitness score. In real systems, the behaviour that determines a good heuristic, such as processor speeds or power consumption, is unknown ...
| Authors | Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez |
|---|---|
| Primary category | cs.NE |
| Published | 1 October 2026 |
| Last updated at source | 1 October 2026 |
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