Master'sOpen Access

Multi-objective optimization with genetic algorihm of truss systems

2006
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Advisor: Yrd. Doç. Dr. Ömer Keleşoğlu

Abstract (EN)

ABSTRACTMsC ThesisMULTI-OBJECTIVE OPTIMIZATION WITH GENETICALGORIHM OF TRUSS SYSTEMSAlper POLATFırat UniversityGraduate School of Natural and Applied SciencesDepartment of Construction Education2006, Page: 37In recent years, an exploding number of new technologies and applications has introducedinto optimization field. In the light of the developments in artificial intelligence applications,with code of develop algorithms that work like human brain to computers, very complexproblems which require tedious mathematical computations can be solved by a computer usinga simple logical approach. Genetic Algorithms developed by using this approach have beenoften used in structural optimum design problems.Genetic Algorithm is a method which is developed by adapting to the computer ofgenetic rules in the nature. It is noticed that the multi-objective genetic optimization technique isalternate method that may be used for the design in plane and space truss. Practicability ofmethod developed have been shown with numerical examples solved.Key words: Multi-objective Optimization, Genetic Algorithm, Truss System, GOALI

Author

Alper Polat

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Alper Polat (Master Thesis). Multi-objective optimization with genetic algorihm of truss systems, 2006, Fırat University.

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