Knowledge Reuse Method to Improve the Learning of Interference-Preventive Allocation Policies in Multi-Car Elevators-Reference-Cited by-同舟云学术

Knowledge Reuse Method to Improve the Learning of Interference-Preventive Allocation Policies in Multi-Car Elevators

Published:2012 Issue:5 Volume:E95.A Page:990-995
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

VALDIVIELSO CHIAN Alex¹,MIYAMOTO Toshiyuki¹

Affiliation:

1. Division of Electrical, Electronic and Information Engineering, Graduate School of Engineering, Osaka University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E95.A/5/E95.A_5_990/_pdf

Reference12 articles.

1. [1] J. Gale, “ThyssenKrupp's TWIN lift system,” Elevator World, vol.51, no.7, pp.51-53, 2003.

2. [2] H. Kita, H. Kise, S. Markon, and T. Beielstein, Control of Traffic Systems in Buildings, Springer-Verlag, London, 2006.

3. [3] K. Ikeda, H. Suzuki, S. Markon, and H. Kita, “Traffic-sensitive controllers for multi-car elevators; design, multi-objective optimization and analysis,” Proc. SICE Annual Conference, pp.2655-2662, Kagawa, Sept. 2007.

4. [4] L. Yu, S. Mabu, T. Zhang, S. Eto, and K. Hirasawa, “Multi-car elevator group supervisory control system using genetic network programming,” Proc. 2009 IEEE Congress on Evolutionary Computation CEC 2009, pp.2188-2193, Trondheim, May 2009.

5. [5] Y. Kuroda and M. Nakata, “An algorithm to minimize average service completion time for the group controller of multi-car elevator systems,” IEICE Trans. Fundamentals, vol.E91-A, no.11, pp.3215-3218, Nov. 2008.

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