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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| Format: | Thesis |
| Language: | English |
| Published: |
2017
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| Online Access: | https://ir.uitm.edu.my/id/eprint/18923/ |
| _version_ | 1848804642688860160 |
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| author | Ab. Aziz, Ahmad Syahir |
| author_facet | Ab. Aziz, Ahmad Syahir |
| author_sort | Ab. Aziz, Ahmad Syahir |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:58:23Z |
| format | Thesis |
| id | uitm-18923 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:58:23Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-189232018-02-05T04:13:24Z https://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 https://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. (2017) Degree thesis, thesis, Universiti Teknologi MARA , Melaka. <http://terminalib.uitm.edu.my/18923.pdf> |
| spellingShingle | QA Mathematics Ab. Aziz, Ahmad Syahir Customised fitness function of evolutionary algorithm for optimization of car park space / Ahmad Syahir Ab. Aziz |
| title | 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_short | 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 |
| topic | QA Mathematics |
| url | https://ir.uitm.edu.my/id/eprint/18923/ |