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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...

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Main Author: Mohd Fadil, Md Sairi
Format: Undergraduates Project Papers
Language:English
Published: 2008
Subjects:
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/180/1/03.Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem.pdf
http://umpir.ump.edu.my/id/eprint/180/
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spelling my.ump.umpir.1802023-04-14T00:03:32Z 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 pdf en http://umpir.ump.edu.my/id/eprint/180/1/03.Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem.pdf Mohd Fadil, Md Sairi (2008) Application of genetic algorithm methods to optimize flowshop sequencing problem. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language 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/180/1/03.Application%20of%20genetic%20algorithm%20methods%20to%20optimize%20flowshop%20sequencing%20problem.pdf
http://umpir.ump.edu.my/id/eprint/180/
_version_ 1764222759024459776
score 13.211869

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