Application of Multi-objective Artificial Immune Optimal Algorithm in the Elevator Group Control System
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, its 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.
Artificial Immune optimal algorithm gradient descent algorithm multi-objective optimization elevator group control system Pareto solution set
LIU Yue-min ZHU Yan
Henan University of Science and Technology, School of Electronic Information Engineering,Luoyang 471003,China
国际会议
合肥
英文
3557-3561
2011-09-23（万方平台首次上网日期，不代表论文的发表时间）