Analysis of tree based search techniques for solving 8-puzzle problem

Arpan Kumar Mishra, P. C. Siddalingaswamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The 8-puzzle is a sliding puzzle that consists of a frame of numbered square tiles in random order with one tile missing. The more general n-puzzle is a classical problem which can be solved using graph search techniques. The problem of finding the optimal solution is NP-hard. In this paper, we analyze the performance of various informed and uninformed search techniques for finding the optimal solution for a solvable goal state of the 8 puzzle. For using the uninformed search techniques, the problem is converted into a game tree and all of the states are examined till we find the goal. In case of informed search techniques, we do not examine all of the states. Essentially, a search tree which is a component of the game tree is built. In a search tree, we make use of an appropriate heuristic which guides us to take a decision from a current state to the next state in an intelligent manner and hence the state space is significantly reduced resulting in memory and time optimization.

Original languageEnglish
Title of host publication2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2017-January
ISBN (Electronic)9781509056828
DOIs
Publication statusPublished - 02-01-2017
Event2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017 - Vellore, India
Duration: 21-04-201722-04-2017

Conference

Conference2017 Innovations in Power and Advanced Computing Technologies, i-PACT 2017
Country/TerritoryIndia
CityVellore
Period21-04-1722-04-17

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Artificial Intelligence
  • Computer Networks and Communications

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