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A Discriminant Function Controller for Elevator Groups Evolved by Genetic Algorithm

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Intelligent Systems Design and Applications (ISDA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1351))

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Abstract

Efficient commanding of elevator group is a practical application of relevance as the capacity growth of residential and office buildings is a reality in large cities. In this work, an elevator group controller is introduced with a structure of linear discriminant functions whose parameters are evolved by a genetic algorithm. The optimization criterion used was the combination of the average waiting time with average journey time for the three traffic patterns peak rise, peak descend and lunch traffic which is formed by peak descent with slight peak rise. The performance of solution, shown varying the traffic pattern, the intensity of the flow of people, is assessed and compared against other current proposals reported in the literature.

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Authors and Affiliations

  1. Universidade Estadual do Ceará - UECE, Ciência da Computa cão, Fortaleza, Ceará, 60714-903, Brazil

    André Luis Ferreira Sá & José E. B. Maia

Authors
  1. André Luis Ferreira Sá
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  2. José E. B. Maia
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Corresponding author

Correspondence to André Luis Ferreira Sá .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer Science, Università degli Studi di Milano, Milan, Milano, Italy

    Vincenzo Piuri

  3. Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Campus Centre de Créteil, Université Paris-Est Créteil, Créteil, France

    Patrick Siarry

  5. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  6. School of Engineering, Instituto Superior de Engenharia do Porto, Porto, Portugal

    Ana Madureira

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Ferreira Sá, A.L., Maia, J.E.B. (2021). A Discriminant Function Controller for Elevator Groups Evolved by Genetic Algorithm. In: Abraham, A., Piuri, V., Gandhi, N., Siarry, P., Kaklauskas, A., Madureira, A. (eds) Intelligent Systems Design and Applications. ISDA 2020. Advances in Intelligent Systems and Computing, vol 1351. Springer, Cham. https://doi.org/10.1007/978-3-030-71187-0_21

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