eBiltegia

    • Euskara
    • Español
    • English
  • Contact Us
  • English 
    • Euskara
    • Español
    • English
  • About eBiltegia  
    • What is eBiltegia? 
    •   About eBiltegia
    •   Publish your research in open access
    • Open Access at MU 
    •   What is Open Science?
    •   Open Access institutional policy
    •   The Library compiles and disseminates your publications
  • Login
View Item 
  •   eBiltegia MONDRAGON UNIBERTSITATEA
  • Research - Articles
  • Articles - Engineering
  • View Item
  •   eBiltegia MONDRAGON UNIBERTSITATEA
  • Research - Articles
  • Articles - Engineering
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Thumbnail
View/Open
A Modified Genetic Algorithm Applied to the Elevator Dispatching Problem.pdf (536.6Kb)
Full record
Impact

Web of Science   

Google Scholar
Microsoft Academic
Share
Save the reference
Mendely
Title
A modified genetic algorithm applied to the elevator dispatching problem
Author
Basagoiti, Rosa ccMondragon Unibertsitatea
Beamurgia Bengoa, MaiteMondragon Unibertsitatea
Author (from another institution)
Rodríguez, I.
Rodriguez Chacón, Victoria
Research Group
Análisis de datos y ciberseguridad
Sistemas distribuidos de tiempo real
Published Date
2016
Publisher
Springer
Keywords
Elevator dispatching problem
Genetic algorithm
Adjustments
Abstract
Reduction of passenger waiting time in a multiple elevator system is an important goal in the lift industry. Genetic algorithms (GAs) have been applied to the dispatching problem in vertical transport ... [+]
Reduction of passenger waiting time in a multiple elevator system is an important goal in the lift industry. Genetic algorithms (GAs) have been applied to the dispatching problem in vertical transportation. In this paper, we present an approach based on a GA with several relevant adjustments to adapt this type of algorithm to this problem. The algorithm serves calls currently registered in the system to create a dispatch plan, under the assumption that just one passenger has made each call (i.e. without passenger forecasting). We develop and investigate various versions of the GA incorporating one or more adjustments in this research area. The algorithms were implemented and evaluated using ELEVATE, for two different building configurations, in terms of incoming, outgoing and interfloor profiles. To compare results, one-factor analysis of variance tests were applied to passenger waiting times. The performance of the basic GA was significantly improved upon by making these adjustments. These adjustments turn out to be essential for a successful implementation of a GA in the dispatching problem. [-]
URI
http://hdl.handle.net/20.500.11984/5628
Publisher’s version
https://doi.org/10.1007/s00500-015-1718-1
ISSN
1433-7479
Published at
Soft Computing  N. 20, 03 June, 3595–3609, 2016
Document type
Article
Version
Postprint – Accepted Manuscript
Rights
© Springer-Verlag Berlin Heidelberg 2015
Access
Open Access
Collections
  • Articles - Engineering [332]

Browse

All of eBiltegiaCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsResearch groupsPublished atThis CollectionBy Issue DateAuthorsTitlesSubjectsResearch groupsPublished at

My Account

LoginRegister

Statistics

View Usage Statistics

Harvested by:

OpenAIREBASE

Validated by:

OpenAIRERebiun
MONDRAGON UNIBERTSITATEA | Library
Contact Us | Send Feedback
DSpace
 

 

Harvested by:

OpenAIREBASE

Validated by:

OpenAIRERebiun
MONDRAGON UNIBERTSITATEA | Library
Contact Us | Send Feedback
DSpace