Artificial Intelligence - Local Search - Local Beam Search (LBS) скачать в хорошем качестве

Artificial Intelligence - Local Search - Local Beam Search (LBS)

Artificial Intelligence Course in Farzin Academy:    • Artificial Intelligence - Introduction   In this Farzin Academy video, we cover Local Beam Search, a powerful extension of the Hill Climbing algorithm that simultaneously explores multiple states and retains the top candidates at each step. 🌐 Unlike random-restart hill climbing, Local Beam Search begins from K initial states and expands the best bK successors, selecting the top K among them in every iteration. This strategy helps avoid getting trapped in local optima and balances exploration with exploitation. 📌 Topics Covered: Difference between hill climbing and beam search Role of the beam width (K) Branching factor and successor expansion Visual comparison on a sample graph Trade-offs in convergence speed and diversity 🎯 Great for AI enthusiasts, students in search and optimization courses, and competitive programmers. 👉 Subscribe to Farzin Academy for more tutorials on AI, graph algorithms, and intelligent search strategies.