Festive season balancing groceries optimization / Fairuz Mohamed Razi

This research uses Genetic Algorithms concept and technique to solve an optimization problem in shortage in supply-demand during festive season which is during Hari Raya Aidilfitri. An Artificial Intelligence method or technique is selected to provide a solution to this problem. The cause of the sho...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mohamed Razi, Fairuz
التنسيق: أطروحة
اللغة:English
منشور في: 2012
الوصول للمادة أونلاين:https://ir.uitm.edu.my/id/eprint/63700/1/63700.pdf
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
id my-uitm-ir.63700
record_format uketd_dc
spelling my-uitm-ir.637002024-03-25T08:06:29Z Festive season balancing groceries optimization / Fairuz Mohamed Razi 2012 Mohamed Razi, Fairuz This research uses Genetic Algorithms concept and technique to solve an optimization problem in shortage in supply-demand during festive season which is during Hari Raya Aidilfitri. An Artificial Intelligence method or technique is selected to provide a solution to this problem. The cause of the shortage in supply-demand is taken to be implemented in the Genetic Algorithms optimization concepts. The objective of this research is gained from the understanding of the problem statement. The main idea of this research is to create a system prototype that uses Genetic Algorithms process engine that can calculate an optimization of the customer demand. The methodology of this project is divided into several phases. The phases are information gathering, system requirement, data collection, system design and implementation, result analysis. The most important part is during system design and implementation. In this phase, method use in Genetic Algorithm to optimize the system prototype is Rastrigin's function to calculate the fitness of the chromosomes. 2012 Thesis https://ir.uitm.edu.my/id/eprint/63700/ https://ir.uitm.edu.my/id/eprint/63700/1/63700.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Shamsudin, Noratikah
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Shamsudin, Noratikah
description This research uses Genetic Algorithms concept and technique to solve an optimization problem in shortage in supply-demand during festive season which is during Hari Raya Aidilfitri. An Artificial Intelligence method or technique is selected to provide a solution to this problem. The cause of the shortage in supply-demand is taken to be implemented in the Genetic Algorithms optimization concepts. The objective of this research is gained from the understanding of the problem statement. The main idea of this research is to create a system prototype that uses Genetic Algorithms process engine that can calculate an optimization of the customer demand. The methodology of this project is divided into several phases. The phases are information gathering, system requirement, data collection, system design and implementation, result analysis. The most important part is during system design and implementation. In this phase, method use in Genetic Algorithm to optimize the system prototype is Rastrigin's function to calculate the fitness of the chromosomes.
format Thesis
qualification_level Bachelor degree
author Mohamed Razi, Fairuz
spellingShingle Mohamed Razi, Fairuz
Festive season balancing groceries optimization / Fairuz Mohamed Razi
author_facet Mohamed Razi, Fairuz
author_sort Mohamed Razi, Fairuz
title Festive season balancing groceries optimization / Fairuz Mohamed Razi
title_short Festive season balancing groceries optimization / Fairuz Mohamed Razi
title_full Festive season balancing groceries optimization / Fairuz Mohamed Razi
title_fullStr Festive season balancing groceries optimization / Fairuz Mohamed Razi
title_full_unstemmed Festive season balancing groceries optimization / Fairuz Mohamed Razi
title_sort festive season balancing groceries optimization / fairuz mohamed razi
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2012
url https://ir.uitm.edu.my/id/eprint/63700/1/63700.pdf
_version_ 1804889657612173312