Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi

Nowadays, courier service has shown a tremendous increase in Malaysia. This courier service turned out to be progressively mainstream as the arrival of online shopping. Therefore, the courier service such as Skynet has a very wide potential to be the most successful business in Malaysia. However, co...

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Main Author:	Ahmad Nah Rodzi, Nah Izzattie Itqan
Format:	Thesis
Language:	English
Published:	2020
Subjects:	Back propagation (Artificial intelligence) Instruments and machines
Online Access:	https://ir.uitm.edu.my/id/eprint/39053/1/39053.pdf
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id	my-uitm-ir.39053
record_format	uketd_dc
spelling	my-uitm-ir.390532020-12-16T05:08:57Z Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi 2020-01 Ahmad Nah Rodzi, Nah Izzattie Itqan Back propagation (Artificial intelligence) Instruments and machines Evolutionary programming (Computer science). Genetic algorithms Nowadays, courier service has shown a tremendous increase in Malaysia. This courier service turned out to be progressively mainstream as the arrival of online shopping. Therefore, the courier service such as Skynet has a very wide potential to be the most successful business in Malaysia. However, courier service has a problem to specify the best route in order to optimize the time and distance hence save cost when doing a delivery. Most of the time not all the items can be sent within the specific time frame because the riders are lack of information in seeking how to determine the sequence of the road when doing a delivery. This problem is also known as the Travelling Salesman Problem (TSP). TSP can be solved by applying a Genetic Algorithm (GA). In this research, the distance travel from starting point into another point will determine the sequence of the road for the rider to do delivery. The data will be obtained from the actual event and the result will be compared. This Genetic Algorithm (GA) will determined the best and the shortest route from one point into another point that need to be taken by the riders. Therefore, by doing this research it can help the courier service company like Skynet to improve their service as well as to optimize the problem. 2020-01 Thesis https://ir.uitm.edu.my/id/eprint/39053/ https://ir.uitm.edu.my/id/eprint/39053/1/39053.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Ibrahim, Khalipah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ibrahim, Khalipah
topic	Back propagation (Artificial intelligence) Instruments and machines Back propagation (Artificial intelligence)
spellingShingle	Back propagation (Artificial intelligence) Instruments and machines Back propagation (Artificial intelligence) Ahmad Nah Rodzi, Nah Izzattie Itqan Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi
description	Nowadays, courier service has shown a tremendous increase in Malaysia. This courier service turned out to be progressively mainstream as the arrival of online shopping. Therefore, the courier service such as Skynet has a very wide potential to be the most successful business in Malaysia. However, courier service has a problem to specify the best route in order to optimize the time and distance hence save cost when doing a delivery. Most of the time not all the items can be sent within the specific time frame because the riders are lack of information in seeking how to determine the sequence of the road when doing a delivery. This problem is also known as the Travelling Salesman Problem (TSP). TSP can be solved by applying a Genetic Algorithm (GA). In this research, the distance travel from starting point into another point will determine the sequence of the road for the rider to do delivery. The data will be obtained from the actual event and the result will be compared. This Genetic Algorithm (GA) will determined the best and the shortest route from one point into another point that need to be taken by the riders. Therefore, by doing this research it can help the courier service company like Skynet to improve their service as well as to optimize the problem.
format	Thesis
qualification_level	Bachelor degree
author	Ahmad Nah Rodzi, Nah Izzattie Itqan
author_facet	Ahmad Nah Rodzi, Nah Izzattie Itqan
author_sort	Ahmad Nah Rodzi, Nah Izzattie Itqan
title	Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi
title_short	Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi
title_full	Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi
title_fullStr	Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi
title_full_unstemmed	Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi
title_sort	applying genetic algorithm for solving travelling salesman problem in skynet courier service / nah izzattie itqan ahmad nah rodzi
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2020
url	https://ir.uitm.edu.my/id/eprint/39053/1/39053.pdf
_version_	1783734496268386304

Applying genetic algorithm for solving travelling salesman problem in Skynet Courier Service / Nah Izzattie Itqan Ahmad Nah Rodzi

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