Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic
TL;DR: The genetic algorithm is compared with the universal controller algorithm in industry applications and results allow us to affirm that the genetic algorithm reaches a better performance attending to the system waiting times than traditional duplex algorithms.
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About: This article is published in Applied Soft Computing. The article was published on 01 May 2004. and is currently open access. The article focuses on the topics: Genetic algorithm & Elevator.
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Citations
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Optimal Elevator Group Control via Deep Asynchronous Actor–Critic Learning
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References
•Proceedings Article
Improving Elevator Performance Using Reinforcement Learning
Robert Crites,Andrew G. Barto +1 more
- 27 Nov 1995
TL;DR: Results in simulation surpass the best of the heuristic elevator control algorithms of which the author is aware and demonstrate the power of RL on a very large scale stochastic dynamic optimization problem of practical utility.
•Proceedings Article
Sizing Populations for Serial and Parallel Genetic Algorithms
David E. Goldberg
- 01 Jun 1989
552
Patent
"Artificial Intelligence" based learning system predicting "Peak-Period" times for elevator dispatching
Kandasamy Thangavelu
- 02 Mar 1990
TL;DR: In this article, an elevator dispatching system for controlling the assignment of elevator cars is presented, which is directed to a method of determining the commencement and/or conclusion of UP-peak and DOWN-peak periods of operation.
95
A fuzzy elevator group controller with linear context adaptation
Ricardo R. Gudwin,Fernando Gomide,M.L. Andrade Netto +2 more
- 04 May 1998
TL;DR: A fuzzy elevator group controller is introduced using a linear context adaptation technique and the focus is on the comparison between the standard fuzzy controller and the fuzzy controller withlinear context adaptation.
68