Hybrid elevator group control system based on immune particle swarm hybrid optimization algorithm with full digital keypads

Good elevator group control system would collect more information from the passengers, and make the system perform better. In this paper, a new hybrid elevator group control system with full digital keypads is proposed, on which immune particle swarm optimization (IPSO) hybrid algorithm is applied. Particle swarm optimization (PSO) algorithm has the advantages of simple model, fast convergence, and can be used in continues system. But its convergence speed would slow down lately, and will trap into local minimum easily. Artificial immune optimization(AIO) uses high cytometaplasia in optimization can avoid local minima and accelerate the optimization. After simulation under the same condition, hybrid elevator group control system with full digital keypads shows better effect than the one without digital keypads. But it still exists some disadvantages which need to be improved in the future.