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035			_a.b11722514
099		9	_aAIT Thesis no.ST-98-05
100	1		_aTorregosa, Ribelito F.
245	1	0	_aOptimization of steel frames using genetic algorithms
260			_aBangkok : _bAsian Institute of Technology, _c1998
300			_a50, A4, B35, C3, D3 leaves
490	1		_aThesis ; _vno. ST-98-05
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Civil Engineering
502			_aThesis (M.Eng.) - Asian Institute of Technology, 1998
520			_aGenetic 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.
650	1	0	_aGenetic algorithms
650	1	0	_aStructural frames _xMathematical models
700	0		_aWorsak Kanok-Nukulchai, _eChairperson
700	1		_aGupta, Satyendra P., _eExamination committee
700	0		_aPennung Warnitchai, _eExamination Committee
700	1		_aWijeyewickrema, Anil C., _eExamination committee
710	2		_aRoyal Thai Government (King's scholarship), _eScholarship donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. ST-98-05
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B13146
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