Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving

Nowadays, the increasing use of group elevator control systems owing to increasing building heights makes the development of high-performance algorithms necessary in terms of time and energy saving. Although there are many studies in the literature about this topic, they are still not effective enou...

Full description

Saved in:
Bibliographic Details
Main Authors: Mehmet Baygin, Mehmet Karakose
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/805343
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832559926275211264
author Mehmet Baygin
Mehmet Karakose
author_facet Mehmet Baygin
Mehmet Karakose
author_sort Mehmet Baygin
collection DOAJ
description Nowadays, the increasing use of group elevator control systems owing to increasing building heights makes the development of high-performance algorithms necessary in terms of time and energy saving. Although there are many studies in the literature about this topic, they are still not effective enough because they are not able to evaluate all features of system. In this paper, a new approach of immune system-based optimal estimate is studied for dynamic control of group elevator systems. The method is mainly based on estimation of optimal way by optimizing all calls with genetic, immune system and DNA computing algorithms, and it is evaluated with a fuzzy system. The system has a dynamic feature in terms of the situation of calls and the option of the most appropriate algorithm, and it also adaptively works in terms of parameters such as the number of floors and cabins. This new approach which provides both time and energy saving was carried out in real time. The experimental results comparatively demonstrate the effects of method. With dynamic and adaptive control approach in this study carried out, a significant progress on group elevator control systems has been achieved in terms of time and energy efficiency according to traditional methods.
format Article
id doaj-art-b5abc874ed294f8d937933a2b8f974cd
institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-b5abc874ed294f8d937933a2b8f974cd2025-02-03T01:28:51ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/805343805343Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time SavingMehmet Baygin0Mehmet Karakose1Computer Engineering Department, Ardahan University, Ardahan, TurkeyComputer Engineering Department, Firat University, Elazig, TurkeyNowadays, the increasing use of group elevator control systems owing to increasing building heights makes the development of high-performance algorithms necessary in terms of time and energy saving. Although there are many studies in the literature about this topic, they are still not effective enough because they are not able to evaluate all features of system. In this paper, a new approach of immune system-based optimal estimate is studied for dynamic control of group elevator systems. The method is mainly based on estimation of optimal way by optimizing all calls with genetic, immune system and DNA computing algorithms, and it is evaluated with a fuzzy system. The system has a dynamic feature in terms of the situation of calls and the option of the most appropriate algorithm, and it also adaptively works in terms of parameters such as the number of floors and cabins. This new approach which provides both time and energy saving was carried out in real time. The experimental results comparatively demonstrate the effects of method. With dynamic and adaptive control approach in this study carried out, a significant progress on group elevator control systems has been achieved in terms of time and energy efficiency according to traditional methods.http://dx.doi.org/10.1155/2013/805343
spellingShingle Mehmet Baygin
Mehmet Karakose
Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving
The Scientific World Journal
title Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving
title_full Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving
title_fullStr Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving
title_full_unstemmed Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving
title_short Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving
title_sort immunity based optimal estimation approach for a new real time group elevator dynamic control application for energy and time saving
url http://dx.doi.org/10.1155/2013/805343
work_keys_str_mv AT mehmetbaygin immunitybasedoptimalestimationapproachforanewrealtimegroupelevatordynamiccontrolapplicationforenergyandtimesaving
AT mehmetkarakose immunitybasedoptimalestimationapproachforanewrealtimegroupelevatordynamiccontrolapplicationforenergyandtimesaving