Computers and Concrete

Volume 22, Number 5, 2018, pages 493-500

DOI: 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