Application of genetic algorithm methods to optimize flowshop sequencing problem

Application of genetic algorithm method to optimize flow shop sequencing problem as the title of this project is the study about the method used in order to optimize flow shop sequencing problem. Genetic algorithm method was one of the methods that were widely used in solving optimization problem. G...

Full description

Bibliographic Details
Main Author:	Mohd Fadil, Md Sairi
Format:	Undergraduates Project Papers
Language:	English English English English English
Published:	2008
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/180/ http://umpir.ump.edu.my/id/eprint/180/ http://umpir.ump.edu.my/id/eprint/180/1/Project_Mohd_Fadil_Md_Sairi.pdf http://umpir.ump.edu.my/id/eprint/180/6/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20abstract.pdf http://umpir.ump.edu.my/id/eprint/180/7/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20chapter%201.pdf http://umpir.ump.edu.my/id/eprint/180/8/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20references.pdf http://umpir.ump.edu.my/id/eprint/180/9/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20table%20of%20content.pdf

id	ump-180
recordtype	eprints
spelling	ump-1802017-03-07T05:39:34Z http://umpir.ump.edu.my/id/eprint/180/ Application of genetic algorithm methods to optimize flowshop sequencing problem Mohd Fadil, Md Sairi T Technology (General) Application of genetic algorithm method to optimize flow shop sequencing problem as the title of this project is the study about the method used in order to optimize flow shop sequencing problem. Genetic algorithm method was one of the methods that were widely used in solving optimization problem. Genetic algorithm method is methods that follow the natural concept. Flow shop sequencing problem or also known as assembly line problem that normally faced by production company. This project will define the application of genetic algorithm method in solving flow shop sequencing problem in details and evaluate the strength and weakness of genetic algorithm method in order to optimize the optimization problem. This project will focusing on the method used to solve an optimization problem, the limitation of the method used and the results of solving flow shop sequencing problem using genetic algorithm method. At the end of this project, we can see the performance of genetic algorithm method in solving flow shop sequencing problem and types of flow shop sequencing problems that can be solve through genetic algorithm method. Limitation of genetic algorithm method also can be shown at the end of this project. 2008-11 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/180/1/Project_Mohd_Fadil_Md_Sairi.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/180/6/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/180/7/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/180/8/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20references.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/180/9/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20table%20of%20content.pdf Mohd Fadil, Md Sairi (2008) Application of genetic algorithm methods to optimize flowshop sequencing problem. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:40669&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English English
topic	T Technology (General)
spellingShingle	T Technology (General) Mohd Fadil, Md Sairi Application of genetic algorithm methods to optimize flowshop sequencing problem
description	Application of genetic algorithm method to optimize flow shop sequencing problem as the title of this project is the study about the method used in order to optimize flow shop sequencing problem. Genetic algorithm method was one of the methods that were widely used in solving optimization problem. Genetic algorithm method is methods that follow the natural concept. Flow shop sequencing problem or also known as assembly line problem that normally faced by production company. This project will define the application of genetic algorithm method in solving flow shop sequencing problem in details and evaluate the strength and weakness of genetic algorithm method in order to optimize the optimization problem. This project will focusing on the method used to solve an optimization problem, the limitation of the method used and the results of solving flow shop sequencing problem using genetic algorithm method. At the end of this project, we can see the performance of genetic algorithm method in solving flow shop sequencing problem and types of flow shop sequencing problems that can be solve through genetic algorithm method. Limitation of genetic algorithm method also can be shown at the end of this project.
format	Undergraduates Project Papers
author	Mohd Fadil, Md Sairi
author_facet	Mohd Fadil, Md Sairi
author_sort	Mohd Fadil, Md Sairi
title	Application of genetic algorithm methods to optimize flowshop sequencing problem
title_short	Application of genetic algorithm methods to optimize flowshop sequencing problem
title_full	Application of genetic algorithm methods to optimize flowshop sequencing problem
title_fullStr	Application of genetic algorithm methods to optimize flowshop sequencing problem
title_full_unstemmed	Application of genetic algorithm methods to optimize flowshop sequencing problem
title_sort	application of genetic algorithm methods to optimize flowshop sequencing problem
publishDate	2008
url	http://umpir.ump.edu.my/id/eprint/180/ http://umpir.ump.edu.my/id/eprint/180/ http://umpir.ump.edu.my/id/eprint/180/1/Project_Mohd_Fadil_Md_Sairi.pdf http://umpir.ump.edu.my/id/eprint/180/6/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20abstract.pdf http://umpir.ump.edu.my/id/eprint/180/7/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20chapter%201.pdf http://umpir.ump.edu.my/id/eprint/180/8/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20references.pdf http://umpir.ump.edu.my/id/eprint/180/9/Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem%20-%20table%20of%20content.pdf
first_indexed	2023-09-18T21:52:05Z
last_indexed	2023-09-18T21:52:05Z
_version_	1777413836530253824

Application of genetic algorithm methods to optimize flowshop sequencing problem

Similar Items