Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli

Travelling has become one of the most popular hobbies among people. Therefore, Cuti-cuti Malaysia Recommendation System is developed to help in planning and suggesting trip in the field of tourism. Although it could suggest and recommend the best places, it takes a longer time to process and produce...

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Bibliographic Details
Main Author:	Zulkifli, Nur Maisarah
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Electronic computers. Computer science Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/21375/ http://ir.uitm.edu.my/id/eprint/21375/1/TD_NUR%20MAISARAH%20ZULKIFLI%20M%20CS%2017_5.pdf

id	uitm-21375
recordtype	eprints
spelling	uitm-213752018-10-25T01:36:24Z http://ir.uitm.edu.my/id/eprint/21375/ Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli Zulkifli, Nur Maisarah Electronic computers. Computer science Algorithms Travelling has become one of the most popular hobbies among people. Therefore, Cuti-cuti Malaysia Recommendation System is developed to help in planning and suggesting trip in the field of tourism. Although it could suggest and recommend the best places, it takes a longer time to process and produce the best result. This is due to there is no optimization concept applies in it. Therefore, to overcome this problem this project used Ant Colony Optimization (ACO) technique and explained how this technique operates to solve tourism problem. ACO is known as the technique which inspire from the behavior of ants. It solves optimization problem by following the five main phases of ACO. From this step, it shows that the higher the number of population and generation of ant, the higher the convergence value of the system. As the result, the system finally produces the best result by suggesting the best vacation places based on user personality and preferences. Execution of the ACO algorithm shows that the algorithm able to produce optimum solution towards the said problem. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21375/1/TD_NUR%20MAISARAH%20ZULKIFLI%20M%20CS%2017_5.pdf Zulkifli, Nur Maisarah (2017) Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science Algorithms
spellingShingle	Electronic computers. Computer science Algorithms Zulkifli, Nur Maisarah Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli
description	Travelling has become one of the most popular hobbies among people. Therefore, Cuti-cuti Malaysia Recommendation System is developed to help in planning and suggesting trip in the field of tourism. Although it could suggest and recommend the best places, it takes a longer time to process and produce the best result. This is due to there is no optimization concept applies in it. Therefore, to overcome this problem this project used Ant Colony Optimization (ACO) technique and explained how this technique operates to solve tourism problem. ACO is known as the technique which inspire from the behavior of ants. It solves optimization problem by following the five main phases of ACO. From this step, it shows that the higher the number of population and generation of ant, the higher the convergence value of the system. As the result, the system finally produces the best result by suggesting the best vacation places based on user personality and preferences. Execution of the ACO algorithm shows that the algorithm able to produce optimum solution towards the said problem.
format	Student Project
author	Zulkifli, Nur Maisarah
author_facet	Zulkifli, Nur Maisarah
author_sort	Zulkifli, Nur Maisarah
title	Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli
title_short	Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli
title_full	Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli
title_fullStr	Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli
title_full_unstemmed	Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli
title_sort	cuti – cuti malaysia recommender system using ant colony optimization (aco) / nur maisarah zulkifli
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21375/ http://ir.uitm.edu.my/id/eprint/21375/1/TD_NUR%20MAISARAH%20ZULKIFLI%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:25Z
last_indexed	2023-09-18T23:06:25Z
_version_	1777418512759783424

Cuti – cuti Malaysia recommender system using Ant Colony Optimization (ACO) / Nur Maisarah Zulkifli

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