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Computers and Concrete Volume 27, Number 1, January 2021 , pages 63-71 DOI: https://doi.org/10.12989/cac.2021.27.1.063 |
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The effect of the new stopping criterion on the genetic algorithm performance |
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Mustafa Kaya and Asim Genc
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| Abstract | ||
| In this study, a new stopping criterion, called "backward controlled stopping criterion" (BCSC), was proposed to be used in Genetic Algorithms. In the study, the available stopping citeria; adaptive stopping citerion, evolution time, fitness threshold, fitness convergence, population convergence, gene convergence, and developed stopping criterion were applied to the following four comparison problems; high strength concrete mix design, pre-stressed precast concrete beam, travelling salesman and reinforced concrete deep beam problems. When completed the analysis, the developed stopping criterion was found to be more accomplished than available criteria, and was able to research a much larger area in the space design supplying higher fitness values. | ||
| Key Words | ||
| genetic algorithm; genetic algorithm operators; stopping criteria | ||
| Address | ||
| Mustafa Kaya: Faculty of Engineering, Aksaray University, Aksaray, Turkey Asim Genc: TUSAS-Kazan Vocational School, Gazi University, Ankara, Turkey | ||