| 3/2013 - 9 |
Group Elevator Peak Scheduling Based on Robust Optimization ModelZHANG, J.   , ZONG, Q. |
Extra paper information in    |
| Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science |
Download PDF  (797 KB) | Citation | Downloads: 895 | Views: 4,388 |
Author keywords
EGCS, intelligent control, modeling, optimal scheduling, traffic peak, uncertainty
References keywords
elevator(16), control(16), group(11), systems(10), optimization(10), system(7), scheduling(6), robust(6), research(5), method(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 51 - 58
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03009
Web of Science Accession Number: 000326321600009
SCOPUS ID: 84884920267
Abstract
Scheduling of Elevator Group Control System (EGCS) is a typical combinatorial optimization problem. Uncertain group scheduling under peak traffic flows has become a research focus and difficulty recently. RO (Robust Optimization) method is a novel and effective way to deal with uncertain scheduling problem. In this paper, a peak scheduling method based on RO model for multi-elevator system is proposed. The method is immune to the uncertainty of peak traffic flows, optimal scheduling is realized without getting exact numbers of each calling floor's waiting passengers. Specifically, energy-saving oriented multi-objective scheduling price is proposed, RO uncertain peak scheduling model is built to minimize the price. Because RO uncertain model could not be solved directly, RO uncertain model is transformed to RO certain model by elevator scheduling robust counterparts. Because solution space of elevator scheduling is enormous, to solve RO certain model in short time, ant colony solving algorithm for elevator scheduling is proposed. Based on the algorithm, optimal scheduling solutions are found quickly, and group elevators are scheduled according to the solutions. Simulation results show the method could improve scheduling performances effectively in peak pattern. Group elevators' efficient operation is realized by the RO scheduling method. |
| References | | | Cited By «-- Click to see who has cited this paper |
| [1] D. Levy, M. Yadin, and A. Alexandrovitz, "Optimal control of elevators," International Journal of Systems Science, vol. 8, no. 3, pp. 301-320, Mar. 1977. [CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 31] [2] N. A. Alexandris, G. C. Barney, and C. J. Harris, "Multicar lift system analysis and design," Appllied Mathematical Modeling, vol. 3, pp. 269-274, Aug. 1979. [CrossRef] [Web of Science Times Cited 12] [SCOPUS Times Cited 19] [3] D. Nikovski, and M. Brand, "Exact calculation of expected waiting times for elevator group control," IEEE Trans. Automatic Control, vol. 49, no. 10, pp. 1820-1823, Oct. 2004. [CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 24] [4] L. Q. Dou, Q. Zong, and Y. H. Ji, "A mixed robust optimization and multi-agent coordination method for elevator group control scheduling," in Proc. 2010 International Conference on Logistic Systems and Intelligent Management, Harbin, China, pp. 1034-1038, Jan. 2010. [CrossRef] [SCOPUS Times Cited 3] [5] J. Jamaludin, N. A. Rahim, and W. P. Hew, "An elevator group control system with a self-tuning fuzzy logic group controller," IEEE Trans. Industrial Electronics, vol. 57, no. 12, pp. 4188-4198, Dec. 2010. [CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 38] [6] N. A. Rahim, W. P. Hew, and J. Jamaludin, "A novel self-tuning scheme for fuzzy logic elevator group controller," IEICE Electronics Express, vol. 7, no. 13, pp. 892-898, Jul. 2010. [CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 4] [7] K. S. Wesselowski, and C. G. Cassandras, "The elevator dispatching problem: hybrid system modeling and receding horizon control," in 2nd IFAC Conf. on Analysis and Design of Hybrid Systems, Alghero, Italy, pp. 136-141, Jun. 2006. [CrossRef] [SCOPUS Times Cited 5] [8] D. L. Pepyne, and C. G. Cassandras, "Optimal dispatching control for elevator systems during uppeak traffic," IEEE Trans. Control Systems Technology, vol. 5, no. 6, pp. 629-643, Nov. 1997. [CrossRef] [Web of Science Times Cited 64] [SCOPUS Times Cited 86] [9] D. L. Pepyne, and C. G. Cassandras, "Design and implementation of an adaptive dispatching controller for elevator systems during uppeak traffic," IEEE Trans. Control Systems Technology, vol. 6, no. 5, pp. 635-650, Sep. 1998. [CrossRef] [Web of Science Times Cited 21] [SCOPUS Times Cited 30] [10] Y. Lee, T. S. Kim, H. S. Cho, D. K. Sung, B. D. Choi, "Performance analysis of an elevator system during up-peak," Mathematical and Computer Modelling, vol. 49, no. 3, pp. 423-431, Feb. 2009. [CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 42] [11] P. B. Luh, B. Xiong, and S. C. Chang, "Group elevator scheduling with advance information for normal and emergency modes," IEEE Trans. Automation Science and Engineering, vol. 5, no. 2, pp. 245-258, Apr. 2008. [CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 43] [12] J. Sun, Q. C. Zhao, and P. B. Luh, "Optimization of group elevator scheduling with advance information," IEEE Trans. Automation Science and Engineering, vol. 7, no. 2, pp. 352-363, Apr. 2010. [CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 34] [13] L. Lin, and Z. Y. Xiong, Video aided system for elevator control, U. S. patent 8,020,672, Sep. 20, 2011. [14] M. L. Siikonen, and J. Ylinen, Elevator group control method using destination floor call input, U. S. patent 7,083,027, Aug. 1, 2006. [15] P. E. Utgoff, and M. E. Connell, "Real-time combinatorial optimization for elevator group dispatching," IEEE Trans. Systems, Man, and Cybernetics, Part A: Systems and Humans, vol. 42, no. 1, pp. 130-146, Jan. 2012. [CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 21] [16] M. S. Abdulla, S. Bhatnagar, "Reinforcement learning based algorithms for average cost Markov decision processes," Discrete Event Dynamic Systems, vol. 17, pp. 23-52, 2007. [CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 9] [17] M. U. Altaf, A. W. Heemink, M. Verlaan, I. Hoteit, "Simultaneous perturbation stochastic approximation for tidal models," Ocean Dynamics, vol. 61, no. 8, pp. 1093-1105, 2011. [CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 10] [18] M.-B. Radac, R.-E. Precup, E. M. Petriu, S. Preitl, "Application of IFT and SPSA to servo system control," IEEE Transactions on Neural Networks, vol. 22, no. 12, pp. 2363-2375, 2011. [CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 60] [19] N. Dong, Z. Chen, "A novel data based control method based upon neural network and simultaneous perturbation stochastic approximation," Nonlinear Dynamics, vol. 67, no. 2, pp. 957-963, 2012. [CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 16] [20] A. Ben-Tal, and A. Nemirovski, "Robust convex optimization," Mathematics of Operations Research, vol. 23, no. 4, pp. 769-805, Nov. 1998. [CrossRef] [Web of Science Times Cited 1693] [SCOPUS Times Cited 1956] [21] A. Ben-Tal and A. Nemirovski, "Robust solutions of uncertain linear programs," Operations research letters, vol. 25, no. 1, pp. 1-13, 1999. [CrossRef] [Web of Science Times Cited 1264] [SCOPUS Times Cited 1463] [22] J. L. Wang and R. Gang, "Robust optimization model for crude oil scheduling under uncertainty," Industrial and Engineering Chemistry Research, vol. 49, no. 4, pp. 1737-1748, 2010. [CrossRef] [Web of Science Times Cited 32] [SCOPUS Times Cited 38] [23] Y. D. Yan, Q. Meng, and S. A. Wang, "Robust optimization model of schedule design for a fixed bus route," Transportation Research part C- Emerging Technologies, vol. 25, pp. 113-121, 2012. [CrossRef] [Web of Science Times Cited 98] [SCOPUS Times Cited 122] [24] J. L. Zhang, Q. Zong, F. Wang, J. F. Li, "Elevator group scheduling for peak flows based on adjustable robust optimization model," in Proc. of 2011 Chinese Control and Decision Conference, Mianyang, China, pp. 1593-1598, May. 2011. [CrossRef] [SCOPUS Times Cited 7] [25] D. Bertsimas, and M. Sim, "The price of robustness," Operations Research, vol. 52, no. 1, pp. 35-53, Jan. 2004. [CrossRef] [Web of Science Times Cited 2946] [SCOPUS Times Cited 3422] [26] A. D. Almeida, S. Hirzel, and C. Patrao, "Energy-efficient elevators and escalators in Europe: An analysis of energy efficiency potentials and policy measures," Energy and Buildings, vol. 47, pp. 151-158, 2012. [CrossRef] [Web of Science Times Cited 45] [SCOPUS Times Cited 55] [27] Q. Zong, W. J. Wang, and A. N. Wang, "A multi-mode prediction method for elevator traffic flow based on classification off-line," in Proc. of 2008 Chinese Control Conference, Kunming, China, pp. 522-526, Jul. 2008. [CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 6] [28] M. Dorigo, G. Di Caro, and L. M. Gambardella, "Ant algorithms for discrete optimization", Artificial Life, vol. 5, no. 2, pp. 137-172, 1999. [CrossRef] [Web of Science Times Cited 1688] [SCOPUS Times Cited 2263] [29] J. H. Yang, X. H. Shi, and M. Maurizio, "An ant colony optimization method for generalized TSP problems," Progress in Natural Science, vol. 18, no. 11, pp. 1417-1422, 2008. [CrossRef] [Web of Science Times Cited 134] [SCOPUS Times Cited 200] [30] J. L. Zhang, J. Tang, Q. Zong, J. F. Li, "Energy-saving scheduling strategy for elevator group control system based on ant colony optimization," in Proc. 2010 IEEE Youth Conference on Information, Computing and Telecommunications, Beijing, China, pp. 37-40, Nov. 2010. [CrossRef] [SCOPUS Times Cited 18] Web of Science® Citations for all references: 8,254 TCR SCOPUS® Citations for all references: 10,025 TCR Web of Science® Average Citations per reference: 266 ACR SCOPUS® Average Citations per reference: 323 ACR TCR = Total Citations for References / ACR = Average Citations per Reference We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more Citations for references updated on 2024-11-14 22:52 in 193 seconds. Note1: Web of Science® is a registered trademark of Clarivate Analytics. Note2: SCOPUS® is a registered trademark of Elsevier B.V. Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site. |
Copyright ©2001-2024
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
