An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town

Shortest path is one of the optimization problems that are difficult to solve. There are many algorithms that used to solve this problem. In this study, ant algorithms are used to find the shortest path using a real data. Kota Kinabalu Central Town (KKCT) is been used as the real data, where the nod...

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Main Author: Nor Rafidah, Mohamad
Format: Thesis
Language:eng
eng
Published: 2005
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Online Access:https://etd.uum.edu.my/1299/1/NOR_RAFIDAH_BT._MOHAMAD.pdf
https://etd.uum.edu.my/1299/2/1.NOR_RAFIDAH_BT._MOHAMAD.pdf
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spelling my-uum-etd.12992013-07-24T12:11:20Z An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town 2005-04-09 Nor Rafidah, Mohamad Faculty of Information Technology Faculty of Information Technology QA71-90 Instruments and machines Shortest path is one of the optimization problems that are difficult to solve. There are many algorithms that used to solve this problem. In this study, ant algorithms are used to find the shortest path using a real data. Kota Kinabalu Central Town (KKCT) is been used as the real data, where the nodes represent as buildings, the arc represent as roads and weight on the arc represent as distance. The objectives of this study are to explore and evaluate the Ant System (AS) algorithm and Ant Colony System (ACS) algorithm in finding shortest paths. Both algorithms are compared. Simulation is used as a method in this study. This is because a simulator is been designed. There are several experiment carry out using the simulator. The experiments involved manipulating several parameters. As a result, the AS was found to be not suitable for the real data used because KKCT is a graph without Hamiltonian cycle. ACS was found to be suitable for KKCT real data and produced an optimal solution. 2005-04 Thesis https://etd.uum.edu.my/1299/ https://etd.uum.edu.my/1299/1/NOR_RAFIDAH_BT._MOHAMAD.pdf application/pdf eng validuser https://etd.uum.edu.my/1299/2/1.NOR_RAFIDAH_BT._MOHAMAD.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic QA71-90 Instruments and machines
spellingShingle QA71-90 Instruments and machines
Nor Rafidah, Mohamad
An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town
description Shortest path is one of the optimization problems that are difficult to solve. There are many algorithms that used to solve this problem. In this study, ant algorithms are used to find the shortest path using a real data. Kota Kinabalu Central Town (KKCT) is been used as the real data, where the nodes represent as buildings, the arc represent as roads and weight on the arc represent as distance. The objectives of this study are to explore and evaluate the Ant System (AS) algorithm and Ant Colony System (ACS) algorithm in finding shortest paths. Both algorithms are compared. Simulation is used as a method in this study. This is because a simulator is been designed. There are several experiment carry out using the simulator. The experiments involved manipulating several parameters. As a result, the AS was found to be not suitable for the real data used because KKCT is a graph without Hamiltonian cycle. ACS was found to be suitable for KKCT real data and produced an optimal solution.
format Thesis
qualification_name masters
qualification_level Master's degree
author Nor Rafidah, Mohamad
author_facet Nor Rafidah, Mohamad
author_sort Nor Rafidah, Mohamad
title An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town
title_short An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town
title_full An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town
title_fullStr An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town
title_full_unstemmed An Experiment of Ant Algorithms : Case Study of Kota Kinabalu Central Town
title_sort experiment of ant algorithms : case study of kota kinabalu central town
granting_institution Universiti Utara Malaysia
granting_department Faculty of Information Technology
publishDate 2005
url https://etd.uum.edu.my/1299/1/NOR_RAFIDAH_BT._MOHAMAD.pdf
https://etd.uum.edu.my/1299/2/1.NOR_RAFIDAH_BT._MOHAMAD.pdf
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