Can I read Local Search Algorithms in AI on EtoBox?

Local Search Algorithms in AI by ANTONIUS WIBISONO , is a document available to read on EtoBox.

What is Local Search Algorithms in AI about?

This document discusses local search algorithms as alternatives to systematic search algorithms for goal-based agents. It describes hill climbing search, which iteratively moves to successor states with better objective function values until a local optimum is reached. Variants like stochastic hill climbing, tabu search, and simulated annealing are introduced to help hill climbing escape local optima. Simulated annealing is inspired by the metallurgical process and accepts worse moves probabilistically base

Author

ANTONIUS WIBISONO ,

Language

EN