Abstract
Novel elevator group control system would collect more information from the passengers, and make the system perform better. In this paper, a novel hybrid destination registration elevator group control system is proposed, on which artificial immune optimization(AIO) algorithm is applied. Artificial immune optimization uses high cytometaplasia in optimization can avoid local minima and accelerate the optimization. The application of artificial immune optimization algorithm on hybrid destination registration elevator group control system expands the applied areas of artificial immune algorithm. After simulation under the same condition, hybrid destination registration elevator group control system can serve the passengers better and get lower value of the probability of long waiting time than the traditional elevator group control system.
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