An elevator group control system with floor-attribute control method and system optimization using genetic algorithms

Fujino, Atsuya; Tobita, T.; Segawa, Kazuhiro; Yoneda, K.; Togawa, Akihiko

doi:10.1109/41.605632

Cited by 74 publications

(30 citation statements)

References 3 publications

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“…Genetic algorithms were used for parameter optimization that improved considerably the critical transportation capacity under demanding traffic conditions [114].…”

Section: Building Transportationmentioning

confidence: 99%

Industrial applications of soft computing: a review

Dote

Ovaska²

2001

Proc. IEEE

137

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“…Genetic algorithms were used for parameter optimization that improved considerably the critical transportation capacity under demanding traffic conditions [114].…”

Section: Building Transportationmentioning

confidence: 99%

Industrial applications of soft computing: a review

Dote

Ovaska²

2001

Proc. IEEE

137

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“…Although mathematical approaches have been sometimes considered (see Zhang et al, 2010;Mulvaney et al, 2010;or Utgoff and Connell, 2012), advanced approaches including soft computing or artificial intelligence algorithms are prevailing to provide optimal car-call allocation for EGCS in nowadays. In this line, genetic algorithms have been widely used providing good and valuable results since a long time (Fujino et al, 1997;Cortés et al, 2004;Tyni and Ylinen, 2006) and research continues being undertaken in this field (Hirasawa et al, 2008;Bolat et al, 2010). Also, other soft computing techniques such as particle swarm optimization have been also applied , as well as immune systems algorithms .…”

Section: Introductionmentioning

confidence: 99%

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

Cortés

Onieva

Muñuzuri

et al. 2013

Computers & Industrial Engineering

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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.Keywords: Elevator; lift; viral system; bio-inspired algorithms; elevator group control system; vertical transportation AcknowledgmentsThe authors acknowledge the financial support provided by the Spanish Plan for Research and Development Technology and Innovation Plan through its Programme Industrial Production and Design, project Ref. DPI2010-15352. A viral system algorithm to optimize the car dispatching in elevator group control systems of tall buildings 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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“…The fuzzy elevator group control system [15] and the Fuzzy Elevator Group Controller with Linear Context Adaptation [16] are some examples where diverse criteria are used as the HCWT i (Hall Call Waiting Time for the i-lift), the maxHCWT i (maximum Hall Call Waiting Time), the CV i (capacity of coverability for next calls for the i-lift), and the minimum distance between new calls and the last calls allocated GD i (Gathering Degree). Also in this line, genetic algorithms [17] and [18] have been used with success to adjust the control settings (a set of criteria) in order to give robustness to the elevator group control system, within a set of great variety of control parameters. These works allow adjusting the control settings according to individual floor utilization situations making use of a combination of car and floor attributes.…”

Section: Introductionmentioning

confidence: 99%

Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic

Cortés

Larrañeta

Onieva

2004

Applied Soft Computing

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Abstract.-A genetic algorithm (GAHCA) is proposed to control elevator groups of professional buildings. The genetic algorithm is compared with the universal controller algorithm in industry applications. In other to do so an ARENA simulation scenario has been generated during heavy lunchpeak traffic conditions. The results allow us to affirm that our genetic algorithm reaches a better performance attending to the system waiting times than traditional duplex algorithms.

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An elevator group control system with floor-attribute control method and system optimization using genetic algorithms

Cited by 74 publications

References 3 publications

Industrial applications of soft computing: a review

Industrial applications of soft computing: a review

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

Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic

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