Performance Evaluation of an Option-Based Learning Algorithm in Multi-Car Elevator Systems-Reference-Cited by-同舟云学术

Performance Evaluation of an Option-Based Learning Algorithm in Multi-Car Elevator Systems

Published:2012 Issue:4 Volume:E95.A Page:835-839
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, 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/4/E95.A_4_835/_pdf

Reference12 articles.

1. [1] H. Kita, H. Kise, S. Markon, and T. Beielstein, “Elevators,” in Control of Traffic Systems in Buildings, Springer-Verlag, London, 2006.

2. [2] S. Takahashi, H. Kita, H. Suzuki, T. Sudo, and S. Markon, “Simulation-based optimization of a controller for multi-car elevators using a genetic algorithm for noisy fitness function,” 2003 IEEE Congress on Evolutionary Computation CEC 2003, pp.345-352, Canberra, Dec. 2003.

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,” 2009 IEEE Congress on Evolutionary Computation CEC 2009, pp.2188-2193, Trondheim, May 2009.

5. An Algorithm to Minimize Average Service Completion Time for the Group Controller of Multi-Car Elevator Systems

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