Best-First Search.pdf

ai15-handout4.pdf
Preview of Best-First Search
🔗 Source: ai.dmi.unibas.ch
📊 Size: 135 KB
👤 Author: Malte Helmert
⬇️ Downloads: 68

Summary

Best-first search is a class of search algorithms that expand the "most promising" node in each iteration, using heuristics to determine the order of node expansion. The most important best-first search algorithms include greedy best-first search, A, and weighted A. Best-first search can be implemented as graph search or tree search, with the graph search version being more common. The algorithm uses a MinHeap ordered by an evaluation function f, which can be a combination of path cost and heuristic. Reopening is used to expand duplicate nodes when cheaper paths to their states are found, and it replaces the closed set with a distances hash table to control reopening. The properties of best-first search include completeness if the heuristic is safe, and optimality depends on the evaluation function f.

Description

Best-first search is a class of search algorithms that expand the "most promising" node in each iteration, using heuristics to determine the order of node...

Technical Information

  • File Format: PDF
  • File Size: 135 KB
  • Pages: 5
  • Language: EN
  • Author: Malte Helmert
  • Total Downloads: 68
  • Last Updated: 7 days ago

Document Overview

This PDF document about Best-First Search provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Best-First Search.

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