Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem

The research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. In ant colony algorithm generated many possible so...

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Main Author: Ruqaya Sha’ban
Format: Article
Language:Arabic
Published: Mosul University 2013-07-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163477_44aade2b90cc2a370f1694566d26b253.pdf
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author Ruqaya Sha’ban
author_facet Ruqaya Sha’ban
author_sort Ruqaya Sha’ban
collection DOAJ
description The research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. In ant colony algorithm generated many possible solutions depending  on finding the difference tiles in initial state from the goal and moving accordingly in the current state of the problem. In Tabu search, many possible solutions have been generated according to the replacement relation between different tiles in initial state to find the optimal solution from many solutions. In this research, the experimental show is very speed to obtain the goal. The source code is written in MATLAB language to simulate these two algorithms.   <strong> </strong>
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spelling doaj.art-742cb1b994a1426f99ca9177689f78672022-12-22T00:10:52ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902013-07-0110210111210.33899/csmj.2013.163477163477Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle ProblemRuqaya Sha’ban0College of Medicine University of Mosul, Mosul, IraqThe research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. In ant colony algorithm generated many possible solutions depending  on finding the difference tiles in initial state from the goal and moving accordingly in the current state of the problem. In Tabu search, many possible solutions have been generated according to the replacement relation between different tiles in initial state to find the optimal solution from many solutions. In this research, the experimental show is very speed to obtain the goal. The source code is written in MATLAB language to simulate these two algorithms.   <strong> </strong>https://csmj.mosuljournals.com/article_163477_44aade2b90cc2a370f1694566d26b253.pdfant colony optimization algorithmtabu search8-puzzle problem
spellingShingle Ruqaya Sha’ban
Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem
Al-Rafidain Journal of Computer Sciences and Mathematics
ant colony optimization algorithm
tabu search
8-puzzle problem
title Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem
title_full Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem
title_fullStr Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem
title_full_unstemmed Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem
title_short Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem
title_sort applying the intelligence of ant and tabu search to solve the 8 puzzle problem
topic ant colony optimization algorithm
tabu search
8-puzzle problem
url https://csmj.mosuljournals.com/article_163477_44aade2b90cc2a370f1694566d26b253.pdf
work_keys_str_mv AT ruqayashaban applyingtheintelligenceofantandtabusearchtosolvethe8puzzleproblem