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

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.

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Abstract

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.

Item Type: Thesis (Degree)
Creators:
CreatorsEmail
Ab. Aziz, Ahmad SyahirUNSPECIFIED
Subjects: Q Science > QA Mathematics
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Computer and Mathematical Sciences
Item ID: 18923
Uncontrolled Keywords: Algorithm; Parking space;
Last Modified: 05 Feb 2018 04:13
Depositing User: Perpustakaan UiTM Cawangan Melaka UiTM Cawangan Melaka
URI: http://ir.uitm.edu.my/id/eprint/18923

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