Delete Relaxation.pdf

po-d07-handout4.pdf
Preview of Delete Relaxation
🔗 Source: ai.dmi.unibas.ch
📊 Size: 195 KB
👤 Author: Malte Helmert and Gabriele Röger
⬇️ Downloads: 134

Summary

D7 Delete Relaxation analyzes hmax and hadd heuristics, introducing choice functions to understand their behavior and shortcomings. Choice functions select one successor for each OR node, and reduced graphs are created by removing other alternatives. Best achievers are chosen based on minimum cost, and best achiever graphs are used to identify shortcomings of hmax and hadd. hmax underestimates the perfect heuristic h+ by only considering the critical path, while hadd overestimates h+ by double-counting operators on multiple paths.

Description

D7 Delete Relaxation analyzes hmax and hadd heuristics, introducing choice functions to understand their behavior and shortcomings.

Technical Information

  • File Format: PDF
  • File Size: 195 KB
  • Pages: 5
  • Language: EN
  • Author: Malte Helmert and Gabriele Röger
  • Total Downloads: 134
  • Last Updated: 5 hours ago

Document Overview

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

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