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Computers and Concrete
  Volume 22, Number 5, November 2018, pages 493-500
DOI: https://doi.org/10.12989/cac.2018.22.5.493
 


Developing a new mutation operator to solve the RC deep beam problems by aid of genetic algorithm
Mustafa Kaya

 
Abstract
    Due to the fact that the ratio of their height to their openings is very large compared to normal beams, there are difficulties in the design and analysis of deep beams, which differ in behavior. In this study, the optimum horizontal and vertical reinforcement diameters of 5 different beams were determined by using genetic algorithms (GA) due to the openness/height ratio (L/h), loading condition and the presence of spaces in the body. In this study, the effect of different mutation operators and improved double times sensitive mutation (DTM) operator on GA
 
Key Words
    evolutionary algorithms; artificial intelligence; genetic algorithms; mutation operator; deep beam
 
Address
Mustafa Kaya: Faculty of Engineering, Aksaray University, Aksaray, Turkey
 

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