Publication: Optimization of truss by using genetic algorithms
| datacite.subject.fos | oecd::Engineering and technology::Mechanical engineering | |
| dc.contributor.author | Kamarudin, Mohammad Dzulkarnain | |
| dc.date.accessioned | 2024-10-02T02:59:49Z | |
| dc.date.available | 2024-10-02T02:59:49Z | |
| dc.date.issued | 2002-03-01 | |
| dc.description.abstract | An optimization procedure is presented for the minimum weight optimization with discrete design variables for truss structures subjected to constraints . Optimizing most structural systems used in practice requires considering design variables as discrete quantities. The paper presents a simple genetic algorithm for optimizing structural systems with discrete design variables. As genetic algorithms are best suited for unconstrained optimization problems, it is necessary to transform the constrained problem into an unconstrained one. A penaltybased transformation method is used in the present work. The penalty parameter depends on the degree of constraint violation, which is found to be well suited for a paralleled search using genetic algorithms. The concepts of optimization using genetic algorithm are solved in details using a three-bar truss problem. All the computations for three successive generations are presented in the form of tables for easy understanding of the algorithm. Applications of the genetic algorithm to design optimization of a larger problem are solved using a tenbar truss. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/20611 | |
| dc.language.iso | en | |
| dc.title | Optimization of truss by using genetic algorithms | |
| dc.type | Resource Types::text::report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |