Optimization of 3D rigid diaphragm buildings using genetic algorithm | |
| Author | Chalermpol Kanchanavornun |
| Call Number | AIT Thesis no.ST-99-25 |
| Subject(s) | Genetic algorithms Structural optimization Genetic algorithms Structural optimization |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering. |
| Publisher | Asian Institute of Technology |
| Abstract | Genetic Algorithm is the one of optimization technique that works best in design problems with discrete variables. ·It employs the survival of the fitness philosophy in determining the optimum combination. In this study, 3D steel buildings based on rigid floor diaphragm are optimized by genetic algorithm for minimum weight design over the list of standard WF steel sections. To achieve this study, the author extends the existing program developed by Torregosa (1998) to optimize 2D steel frames. The different search procedures are tested in this study. Different crossover types, crossover probability and population size are used to find the best method. Elitist with mutation search method, 1-point and 2-point crossover type are proven to be the best. Higher population size yields the better results than the lower ones. In order to examine the performance of genetic algorithms, results from the case studies are compared with those from the other optimization methods. From the comparison of the results, genetic algorithm shows the higher performance over the other methods in a small size of variable problems. |
| Year | 1999 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Structural Engineering (STE) /Former Name = Structural Engineering and Construction (ST) |
| Chairperson(s) | Worsak Kanok-Nukulchai;Worsak Kanok-Nukulchai; |
| Examination Committee(s) | Wijeyewickrema, Anil C.;Manavazhi, Mohan Raj; |
| Scholarship Donor(s) | AIT Partial Scholarship.; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1999 |