Applying the intelligence of ant and tabu search to solve the 8-puzzle problem

Author

Shaban, Ruqayah Zaydan

Source

al- Rafidain Journal of Computer Sciences and Mathematics

Issue

Vol. 10, Issue 2 (31 Aug. 2013), pp.101-112, 12 p.

Publisher

University of Mosul College of Computer Science and Mathematics

Publication Date

2013-08-31

Country of Publication

Iraq

No. of Pages

12

Main Subjects

Mathematics

Topics

Abstract AR

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.

American Psychological Association (APA)

Shaban, Ruqayah Zaydan. 2013. Applying the intelligence of ant and tabu search to solve the 8-puzzle problem. al- Rafidain Journal of Computer Sciences and Mathematics،Vol. 10, no. 2, pp.101-112.
https://search.emarefa.net/detail/BIM-341421

Modern Language Association (MLA)

Shaban, Ruqayah Zaydan. Applying the intelligence of ant and tabu search to solve the 8-puzzle problem. al- Rafidain Journal of Computer Sciences and Mathematics Vol. 10, no. 2 (2013), pp.101-112.
https://search.emarefa.net/detail/BIM-341421

American Medical Association (AMA)

Shaban, Ruqayah Zaydan. Applying the intelligence of ant and tabu search to solve the 8-puzzle problem. al- Rafidain Journal of Computer Sciences and Mathematics. 2013. Vol. 10, no. 2, pp.101-112.
https://search.emarefa.net/detail/BIM-341421

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 112

Record ID

BIM-341421