Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai

This paper studies a special kind of Constraint Satisfaction Problem (CSP) related to a case of resource allocation. It attempts to study the procedure of allocating a collection of resources to a group of contenders, in a satisfactory manner. In this study, we have modeled the CSP as a constraint g...

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Main Author: Annamalai, Muthukkaruppan
Format: Article
Language:English
Published: Fakulti Teknologi Maklumat dan Sains Kuantitatif 2001
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/11640/
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author Annamalai, Muthukkaruppan
author_facet Annamalai, Muthukkaruppan
author_sort Annamalai, Muthukkaruppan
building UiTM Institutional Repository
collection Online Access
description This paper studies a special kind of Constraint Satisfaction Problem (CSP) related to a case of resource allocation. It attempts to study the procedure of allocating a collection of resources to a group of contenders, in a satisfactory manner. In this study, we have modeled the CSP as a constraint graph. This allows us to device an augmented backtracking algorithm that could be employed to find a solution for this CSP. There are three important features of this algorithm that we would like to highlight here, namely I) minimally backtracking to resolve the constraint violation, II) making use of the information associated with a failed search to prune the search space and III) not repeating a computation. This algorithm was tested on the New Vehicle Sales System application (Mohd Zamri, 1998) and has been found to consistently produce the desired result.
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spelling uitm-116402016-09-26T05:19:19Z https://ir.uitm.edu.my/id/eprint/11640/ Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai Annamalai, Muthukkaruppan Programming. Rule-based programming. Backtrack programming This paper studies a special kind of Constraint Satisfaction Problem (CSP) related to a case of resource allocation. It attempts to study the procedure of allocating a collection of resources to a group of contenders, in a satisfactory manner. In this study, we have modeled the CSP as a constraint graph. This allows us to device an augmented backtracking algorithm that could be employed to find a solution for this CSP. There are three important features of this algorithm that we would like to highlight here, namely I) minimally backtracking to resolve the constraint violation, II) making use of the information associated with a failed search to prune the search space and III) not repeating a computation. This algorithm was tested on the New Vehicle Sales System application (Mohd Zamri, 1998) and has been found to consistently produce the desired result. Fakulti Teknologi Maklumat dan Sains Kuantitatif 2001 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/11640/1/AJ_MUTHUKKARUPPAN%20ANNAMALAI%20JTMSK%2001%201.pdf Annamalai, Muthukkaruppan (2001) Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai. (2001) Jurnal Teknologi Maklumat dan Sains Kuantitatif <https://ir.uitm.edu.my/view/publication/Jurnal_Teknologi_Maklumat_dan_Sains_Kuantitatif.html>, 3 (1). pp. 87-97. ISSN 1823-0822
spellingShingle Programming. Rule-based programming. Backtrack programming
Annamalai, Muthukkaruppan
Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
title Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
title_full Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
title_fullStr Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
title_full_unstemmed Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
title_short Solving a backtracking intelligently : a case study / Muthukkaruppan Annamalai
title_sort solving a backtracking intelligently : a case study / muthukkaruppan annamalai
topic Programming. Rule-based programming. Backtrack programming
url https://ir.uitm.edu.my/id/eprint/11640/