Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz

Nowadays, parking is important thing that required by place where vehicle can access. Vehicle that park at the place must safe and comfortable. Parking space are designed based on the three type which are parallel, diagonal, and perpendicular. Size of the area and the condition of the empty space ar...

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Main Author:	Ab. Aziz, Ahmad Syahir
Format:	Thesis
Language:	English
Published:	2017
Subjects:	QA Mathematics
Online Access:	http://ir.uitm.edu.my/id/eprint/18923/ http://ir.uitm.edu.my/id/eprint/18923/1/TD_AHMAD%20SYAHIR%20AB.%20AZIZ%20M%20CS%2017_5.pdf

id	uitm-18923
recordtype	eprints
spelling	uitm-189232018-02-05T04:13:24Z http://ir.uitm.edu.my/id/eprint/18923/ Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz Ab. Aziz, Ahmad Syahir QA Mathematics Nowadays, parking is important thing that required by place where vehicle can access. Vehicle that park at the place must safe and comfortable. Parking space are designed based on the three type which are parallel, diagonal, and perpendicular. Size of the area and the condition of the empty space are affecting the number of parking space. The problem nowadays is parking spaces claimed to have a very high value. Moreover, the developer must ensure that the parking space is construct with maximum capacity and avoid from waste area. Because of that, the empty space should be managed efficiently before the building process new parking facilities is done. This Optimization Car Park Space designed to calculate and estimate the total number parking spaces with each design and factor that affect the construction. Therefore, framework development methodology is used to make sure the system successful and can be developed according to the schedule. Genetic algorithm is chosen for the development of the prototype to prove that genetic algorithm is the best technique to implement for optimization. There are six steps of genetic algorithm. The prototype is useful to worker in construction calculate the total number of parking spaces in the future. 2017 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18923/1/TD_AHMAD%20SYAHIR%20AB.%20AZIZ%20M%20CS%2017_5.pdf Ab. Aziz, Ahmad Syahir (2017) Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz. Degree thesis, Universiti Teknologi MARA , Melaka.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Ab. Aziz, Ahmad Syahir Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
description	Nowadays, parking is important thing that required by place where vehicle can access. Vehicle that park at the place must safe and comfortable. Parking space are designed based on the three type which are parallel, diagonal, and perpendicular. Size of the area and the condition of the empty space are affecting the number of parking space. The problem nowadays is parking spaces claimed to have a very high value. Moreover, the developer must ensure that the parking space is construct with maximum capacity and avoid from waste area. Because of that, the empty space should be managed efficiently before the building process new parking facilities is done. This Optimization Car Park Space designed to calculate and estimate the total number parking spaces with each design and factor that affect the construction. Therefore, framework development methodology is used to make sure the system successful and can be developed according to the schedule. Genetic algorithm is chosen for the development of the prototype to prove that genetic algorithm is the best technique to implement for optimization. There are six steps of genetic algorithm. The prototype is useful to worker in construction calculate the total number of parking spaces in the future.
format	Thesis
author	Ab. Aziz, Ahmad Syahir
author_facet	Ab. Aziz, Ahmad Syahir
author_sort	Ab. Aziz, Ahmad Syahir
title	Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
title_short	Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
title_full	Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
title_fullStr	Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
title_full_unstemmed	Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz
title_sort	customised fitness function of evolutionary algorithm for optimization of car park space / ahmad syahir ab. aziz
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/18923/ http://ir.uitm.edu.my/id/eprint/18923/1/TD_AHMAD%20SYAHIR%20AB.%20AZIZ%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:01:29Z
last_indexed	2023-09-18T23:01:29Z
_version_	1777418202832175104

Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz

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