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中文摘要：
针对高层建筑时变的交通状况，提出一种基于改进的遗传算法的电梯群优化调度策略．通过将传统的遗传算法进行改造，采用了最优个体保存策略，以避免传统遗传算法的早熟现象，得到全局最优个体，克服了传统遗传算法的固有弱点，同时加快了传统遗传算法的收敛速度，进而获取电梯群控调度的优化解，算倒及仿真结果表明了该方法的有效性。
英文摘要：
In view of the time-varying property of the elevator traffic demand in high-rise buildings, an optimal scheduling strategy for elevator group control system （EGCS） based on an improved genetic algorithm is proposed. The conventional genetic algorithm is improved by the optimal individual conserving method to avoid the early mature which is the drawback of the conventional genetic algorithm. By the presented method, the global optimal individual is obtained with high convergence rate and the optimal scheduling of elevator group control is conducted. Simulation experiments prove the effectiveness of the proposed method.
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