GENETIC ALGORITHM-BASED TEMPORARY ELEVATOR PLANNING FROM A SPATIO-TEMPORAL PERSPECTIVE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For temporary elevator planning, optimization with metaheuristic algorithms is an effective approach. Existing temporary elevator planning is rarely conducted from a spatio-temporal perspective. This research proposes a spatio-temporal planning model with a genetic algorithm to address this deficiency. The experiment test results show that the total cost of the optimized solution is reduced by 37.48% compared to the initial solution. The proposed model solves the limitation that the service day and floor of temporary elevators are planned separately, which, when considered simultaneously, help reduce the cost of temporary elevators.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 European Conference on Computing in Construction
EditorsLavinia Chiara Tagliabue, Daniel M. Hall, Ranjith Soman, Athanasios Chassiakos, Dragana Nikolic
PublisherEuropean Council on Computing in Construction (EC3)
Pages481-488
Number of pages8
ISBN (Print)9788875902261
DOIs
StatePublished - 2022
EventEuropean Conference on Computing in Construction, EC3 2022 - Rhodes, Greece
Duration: Jul 24 2022Jul 26 2022

Publication series

NameProceedings of the European Conference on Computing in Construction
ISSN (Electronic)2684-1150

Conference

ConferenceEuropean Conference on Computing in Construction, EC3 2022
Country/TerritoryGreece
CityRhodes
Period7/24/227/26/22

ASJC Scopus subject areas

  • Information Systems
  • Building and Construction

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