Optimization of steel frames using genetic algorithms | |
| Author | Torregosa, Ribelito F. |
| Call Number | AIT Thesis no.ST-98-05 |
| Subject(s) | Genetic algorithms Structural frames--Mathematical models |
| 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 (GA) is a new technique in optimization procedure that works best in design problems with discrete variables. It employs the survival of the fittest philosophy in determining the optimum combination. Genetic algorithm program was developed using Fortran Programming Language. Test was conducted in order to determine the reliability of the program by optimizing a beam using both exact and GA. Genetic algorithm were used to optimize plane frames under different load cases. Database of steel sizes was provided as the discrete variables. Three different search procedures were tested in the study. These are the elitist without mutation, non-elitist and elitist with mutation search. Different crossover types, population sizes, and crossover probabilities were used and the best method was determined. To examine the performance of genetic algorithms, case studies were conducted and the results obtained were compared with the results from other optimization techniques reported by other authors to some engineering journals. |
| Year | 1998 |
| Type | Thesis |
| School | School of Civil Engineering |
| 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; |
| Examination Committee(s) | Gupta, Satyendra P.;Pennung Warnitchai;Wijeyewickrema, Anil C.; |
| Scholarship Donor(s) | Royal Thai Government (King's scholarship); |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1998 |