Group elevator control optimization using artificial atom algorithm (original) (raw)

2017 International Artificial Intelligence and Data Processing Symposium (IDAP), 2017

Abstract

With the applications of artificial intelligence, it is possible to produce accurate and effective solutions for many problems encountered in daily life. In this study, Artificial Atom Algorithm, which is a topical algorithm, is used for optimum routing in group elevator control. The Artificial Atom Algorithm is a meta-heuristic algorithm that was improved by inspired the compounding process of atoms. With the application, it is aimed that is responded to hall calls in the most effective way by working 7 elevators in 16-storey building. The system which is designed for this purpose, offers optimum control for elevators. The total elapsed time to answer the hall calls has been minimized with the study.

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