Application of Multi-Objective Artificial Immune Optimal Algorithm in the Elevator Group Control System

Abstract:

With the development of the electronic technology, people have proposed higher requirements for the service quality on elevator, and the optimal elevator dispatching has developed a typical multi-objective optimal process. This paper analyzes both the advantages and the disadvantages of artificial immune algorithm and gradient descent algorithm, optimizes artificial immune algorithm, then proposes a novel optimal hybrid algorithm; at the same time, uses this hybrid algorithm in the elevator group control system combined with Pareto solution set. Making a comparison between the hybrid algorithm and the standard artificial immune algorithm, it’s clear that this hybrid algorithm has certain feasibility and superiority, and to some extent, has improved the overall performance and service quality of the elevator group control system. This paper has provided a new method and a new thought on determination of the multi-objective weighted values in the elevator group control system.

• Periodical: Applied Mechanics and Materials (Volumes 130-134)
• Pages: 3557-3561
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.130-134.3557
• Online since: October 2011
• Authors: Yue Min Liu, Yan Zhu
• Keywords: Artificial Immune Optimal Algorithm, Elevator Group Control System, Gradient Descent Algorithm, Multi-Objective Optimization (MOP), Pareto Solution Set

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