1 AIT Asian Institute of Technology

An optimization of a telecommunication tower by genetic algorithms

AuthorAnuwong Witchuwanit
Call NumberAIT Thesis no.ST-95-2
Subject(s)Genetic algorithms
Structural optimization
NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering.
PublisherAsian Institute of Technology
Series StatementThesis ; no. ST-95-2
AbstractGenetic 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
Year1995
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. ST-95-2
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Civil and Infrastucture Engineering (DCIE)
Academic Program/FoSStructural 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).
DegreeThesis (M.Eng.) - Asian Institute of Technology, 1995


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