Hindawi Publishing Corporation
he Scientiic World Journal
Volume 2013, Article ID 805343, 12 pages
http://dx.doi.org/10.1155/2013/805343
Research Article
Immunity-Based Optimal Estimation Approach for a New Real
Time Group Elevator Dynamic Control Application for Energy
and Time Saving
Mehmet Baygin
1
and Mehmet Karakose
2
1
Computer Engineering Department, Ardahan University, Ardahan, Turkey
2
Computer Engineering Department, Firat University, Elazig, Turkey
Correspondence should be addressed to Mehmet Baygin; mehmetbaygin@ardahan.edu.tr
Received 3 May 2013; Accepted 13 June 2013
Academic Editors: P. Agarwal, S. Balochian, V. Bhatnagar, and Y. Zhang
Copyright © 2013 M. Baygin and M. Karakose. his is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.
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 efective 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. he 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. he 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 loors and cabins. his new approach which
provides both time and energy saving was carried out in real time. he experimental results comparatively demonstrate the efects
of method. With dynamic and adaptive control approach in this study carried out, a signiicant progress on group elevator control
systems has been achieved in terms of time and energy eiciency according to traditional methods.
1. Introduction
he scheduling of the group elevator systems, which has been
used for vertical transportation at high-rise buildings, has
an important place in our daily lives. Aiming to give rapid
service to the crowd population in the building, such systems
have very complex structure. One of the issues that people
usually complain inside building is vertical transportation
service of the building [1]. he studies on this topic continue
for a long time, and important developments are provided.
he group elevator systems are structures, which elevate
the population in the building from one loor to another by
using more than one cabin in the widest sense. Generally
managed from one control center in a coordinated manner,
such systems are inding optimal ways according to the
condition of calls, and they apply such ways on cabins.
However, the width of the optimal way space makes this
problem hard to solve in the best way. Because there are
the option of
diferent ways in a building having
storey and cabin [2, 3]. Actually, what is expected from
the group elevator systems is the average performance of
such cabins instead of individual performance of elevator.
In addition, the basic criteria at such performances are to
minimize the average waiting time of passengers and energy
consumption values of cabins [3, 4]. Generally, by considering
such parameters, the most optimum way is selected from
the way space, and these are applied to the system. Actually,
there are many factors, which afect average waiting time;
these can be counted as lack of some information like number
of passengers, elevator speed, and so on. For instance, the
passengers have to wait new coming elevator for a long
time because they missed the elevator a few minutes ago. In
addition to this case, although no one uses elevator because of
call of any empty loor, the passengers oten wait for closing