A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
The self-learning AI router that picks the best model, provider, and reasoning level for every request - beating OpenRouter Auto, LLMRouter, and Semantic Router, and matching RouteLLM accuracy at 65.1% lower measured cost in benchmarks.
[TMLR 2026] Official implementation for "Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms".
Genetik Algoritma ve Karınca Kolonisi Optimizasyonu kullanılarak ağ yönlendirme ve rota optimizasyonu uygulaması.
Trabalhos de Otimização e Meta-Heurísticas PPGI-UFES.
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