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A viral system algorithm to optimize the car dispatching in elevator group control systems of tall buildings

Authors:

JesúS MuñUzuri,

José GuadixAuthors Info & Claims

Computers and Industrial Engineering, Volume 64, Issue 1

Pages 403 - 411

https://doi.org/10.1016/j.cie.2012.11.002

Published: 01 January 2013 Publication History

Abstract

Nowadays is very common the presence of tall buildings in the business centres of the main cities of the world. Such buildings require the installation of numerous lifts that are coordinated and managed under a unique control system. Population working in the buildings follows a similar traffic pattern generating situations of traffic congestion. The problem arises when a passenger makes a hall call wishing to travel to another floor of the building. The dispatching of the most suitable car is the optimization problem we are tackling in this paper. We develop a viral system algorithm which is based on a bio-inspired virus infection analogy to deal with it. The viral system algorithm is compared to genetic algorithms, and tabu search approaches that have proven efficiency in the vertical transportation literature. The experiments undertaken in tall buildings from 10 to 24 floors, and several car configurations from 2 to 6 cars, provide valuable results and show how viral system outperforms such soft computing algorithms.

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Cited By

Hanif MMohammad N(2023)Metaheuristic algorithms for elevator group control system: a holistic reviewSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-08843-027:21(15905-15936)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1007/s00500-023-08843-0
(2019)A discrete particle swarm optimisation algorithm to operate distributed energy generation networks efficientlyInternational Journal of Bio-Inspired Computation10.5555/3302586.330258912:4(226-235)Online publication date: 5-Feb-2019
https://dl.acm.org/doi/10.5555/3302586.3302589
Choi HCho KBahn H(2019)Sensor and Dynamic Pricing Aware Vertical Transportation in Smart BuildingsComplexity10.1155/2019/70268102019Online publication date: 20-Jun-2019
https://dl.acm.org/doi/10.1155/2019/7026810
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Information & Contributors

Information

Published In

cover image Computers and Industrial Engineering

Computers and Industrial Engineering Volume 64, Issue 1

January, 2013

537 pages

ISSN:0360-8352

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2012.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 January 2013

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Cited By

Hanif MMohammad N(2023)Metaheuristic algorithms for elevator group control system: a holistic reviewSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-023-08843-027:21(15905-15936)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1007/s00500-023-08843-0
(2019)A discrete particle swarm optimisation algorithm to operate distributed energy generation networks efficientlyInternational Journal of Bio-Inspired Computation10.5555/3302586.330258912:4(226-235)Online publication date: 5-Feb-2019
https://dl.acm.org/doi/10.5555/3302586.3302589
Choi HCho KBahn H(2019)Sensor and Dynamic Pricing Aware Vertical Transportation in Smart BuildingsComplexity10.1155/2019/70268102019Online publication date: 20-Jun-2019
https://dl.acm.org/doi/10.1155/2019/7026810
Suzuki YCortes J(2016)A tabu search with gradual evolution processComputers and Industrial Engineering10.1016/j.cie.2016.08.004100:C(52-57)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.cie.2016.08.004
Escudero-Santana ACortés PMuñuzuri JAparicio P(2015)A viral system to optimise the daily drayage problemInternational Journal of Bio-Inspired Computation10.1504/IJBIC.2015.0695587:3(176-182)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1504/IJBIC.2015.069558

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