关键词: 人工免疫优化算法, 免疫粒子群, 混合电梯群控系统, 克隆选择, 细胞自动机

Abstract:

According to the complementarity of the artificial immune （AI） optimization algorithm and the particle swarm optimization （PSO） algorithm, a hybrid immune particle swarm optimization algorithm is proposed and employed to optimize the elevator dispatching in the hybrid elevator-group control system. The simulated results are then compared with those obtained by AI optimization and PSO algorithms, finding that, by using the proposed algorithm, the long waiting percentage and the run count are greatly improved, while the average waiting time is not obviously shortened. It is thus concluded that the proposed algorithm is effective in optimizing the elevator dispatching in the hybrid elevator-group control system.

Key words: artificial immune optimization algorithm, immune particle swarm, hybrid elevator-group control system, clonal selection, cellular automaton