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An optimization of a telecommunication tower by genetic algorithms | |
Author | Anuwong Witchuwanit |
Call Number | AIT Thesis no.ST-95-2 |
Subject(s) | 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 |
Series Statement | Thesis ; no. ST-95-2 |
Abstract | Genetic algorithms are search procedures based upon the mechanics of natural genetics, combining a Darwinian survival-of-the-fittest philosophy with a random yet structured information exchange among a population of artificial chromosomes. As a result, the superior offspring will be created whereas the inferior ones will be destroyed. Genetic algorithms can be utilized only for an unconstrained problem; therefore a constrained problem must be transformed to an unconstrained problem. A genetic algorithm is integrated with augmented Lagrangian method in a nested loop. A 32m-TOT's telecommunication tower is selected and tested with two categories, i.e. allowable compressive stress equals allowable tensile stress and allowable compressive stress equals 70% of allowable tensile stress. Each category is also divided into 4 cases of different crossover method, I-point, 2-point, 20%-uniform, and 50%-uniform crossover. Numerical results are presented to show the efficiency of the method |
Year | 1995 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. ST-95-2 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
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) | Pennung Warnitchai;Ogunlana, Stephen O. |
Scholarship Donor(s) | The Telephone Organization of Thailand (TOT). |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1995 |