Optimization Of Bar Linkage By Using Genetic Algorithms
This thesis presents the method of using simple Genetic Algorithms (GAs) in optimizing the size of bar linkage with discrete design variables and continues design variables. Penalty-based transformation method is used in this thesis to change the constrained problems into unconstrained ones. I...
| Main Author: | |
|---|---|
| Format: | Monograph |
| Language: | English |
| Published: |
Universiti Sains Malaysia
2005
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/58164/1/Optimization%20Of%20Bar%20Linkage%20By%20Using%20Genetic%20Algorithms_Mugilan%20Ramasamy.pdf |
| _version_ | 1825907842919432192 |
|---|---|
| author | Ramasamy, Mugilan |
| author_facet | Ramasamy, Mugilan |
| author_sort | Ramasamy, Mugilan |
| collection | USM |
| description | This thesis presents the method of using simple Genetic Algorithms (GAs) in
optimizing the size of bar linkage with discrete design variables and continues design
variables. Penalty-based transformation method is used in this thesis to change the
constrained problems into unconstrained ones. It is well known that GAs is best suited
for unconstrained optimization problems. Optimization process will consider, lightest
weight of the bar by using GAs without exceeding the allowable stress determined. Two
types of problems are chosen to optimize in this thesis. First problem is optimization of
four bar linkage under static loading condition and second problem is optimization of
four bar linkage under dynamic condition without loading. The result from GA for this
problem is compared with some other methods which are presented by V.V Tropov and
V.L Markine.It is observed that GA gives better solution compared to other published
methods. |
| first_indexed | 2024-03-06T16:10:07Z |
| format | Monograph |
| id | usm.eprints-58164 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2024-03-06T16:10:07Z |
| publishDate | 2005 |
| publisher | Universiti Sains Malaysia |
| record_format | dspace |
| spelling | usm.eprints-581642023-04-20T05:11:26Z http://eprints.usm.my/58164/ Optimization Of Bar Linkage By Using Genetic Algorithms Ramasamy, Mugilan T Technology TJ Mechanical engineering and machinery This thesis presents the method of using simple Genetic Algorithms (GAs) in optimizing the size of bar linkage with discrete design variables and continues design variables. Penalty-based transformation method is used in this thesis to change the constrained problems into unconstrained ones. It is well known that GAs is best suited for unconstrained optimization problems. Optimization process will consider, lightest weight of the bar by using GAs without exceeding the allowable stress determined. Two types of problems are chosen to optimize in this thesis. First problem is optimization of four bar linkage under static loading condition and second problem is optimization of four bar linkage under dynamic condition without loading. The result from GA for this problem is compared with some other methods which are presented by V.V Tropov and V.L Markine.It is observed that GA gives better solution compared to other published methods. Universiti Sains Malaysia 2005-03-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/58164/1/Optimization%20Of%20Bar%20Linkage%20By%20Using%20Genetic%20Algorithms_Mugilan%20Ramasamy.pdf Ramasamy, Mugilan (2005) Optimization Of Bar Linkage By Using Genetic Algorithms. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanikal. (Submitted) |
| spellingShingle | T Technology TJ Mechanical engineering and machinery Ramasamy, Mugilan Optimization Of Bar Linkage By Using Genetic Algorithms |
| title | Optimization Of Bar Linkage By Using Genetic Algorithms |
| title_full | Optimization Of Bar Linkage By Using Genetic Algorithms |
| title_fullStr | Optimization Of Bar Linkage By Using Genetic Algorithms |
| title_full_unstemmed | Optimization Of Bar Linkage By Using Genetic Algorithms |
| title_short | Optimization Of Bar Linkage By Using Genetic Algorithms |
| title_sort | optimization of bar linkage by using genetic algorithms |
| topic | T Technology TJ Mechanical engineering and machinery |
| url | http://eprints.usm.my/58164/1/Optimization%20Of%20Bar%20Linkage%20By%20Using%20Genetic%20Algorithms_Mugilan%20Ramasamy.pdf |
| work_keys_str_mv | AT ramasamymugilan optimizationofbarlinkagebyusinggeneticalgorithms |