| 一种改进的遗传算法及其在电梯群控中的应用 |
| |
| 引用本文： | 李伙友,李建军. 一种改进的遗传算法及其在电梯群控中的应用[J]. 漳州师院学报, 2012, 0(3): 38-41,66 |
| |
| 作者姓名： | 李伙友 李建军 |
| |
| 作者单位： | [1]龙岩学院数学与计算机科学学院,福建龙岩364012 [2]福建方圆智科电子有限公司,福建龙岩364000 |
| |
| 基金项目： | 863专项基金（2007AA042116）;福建省科技专项基金（2008F5043）;福建省教育厅科研基金（JA08228） |
| |
| 摘 要： | 以电梯群为群控对象，提出了基于改进的遗传算法系统解决方案；采用权向量整体优化方法，得到最优目标函数值，并由此确定了群控对象目标评价函数，提出了一种基于保存策略进化模型（ElitistModel）的遗传算法求解电梯群拉问题的方法．算例及仿真结果对比表明，该方法在小规模应用中，与以往算法相比并无明显优势；但在较大规模的电梯群控仿真中，能效降电梯乘客的等待时间和电梯系统能耗．
|
| 关 键 词： | 改进的遗传算法 群控对象 多目标优化策略 |
Multi-objective Optimization of Elevator Group Control using a Modified Genetic Algorithm |
| |
| LI Huo-you,LI Jian-jun. Multi-objective Optimization of Elevator Group Control using a Modified Genetic Algorithm[J]. Journal of ZhangZhou Teachers College(Philosophy & Social Sciences), 2012, 0(3): 38-41,66 |
| |
| Authors: | LI Huo-you LI Jian-jun |
| |
| Affiliation: | 1.School of Mathematics and Computer Science, Longyan University, Longyan, Fujian 364012; 2.Fujian fangyuan intelligence and technology electronic co.,Ltd, Longyan, Fujian 364000, China) |
| |
| Abstract: | Proposed a modified genetic algorithm for the Elevator Group Control problem based Elitist Model. Four overall optimization objective functions were established. Examples and simulation results show that, though the new approach did not have significant advantages comparing to the previous studies in small scale simulation, it outperformed the benchmark in large scale testing and reduced the passenger waiting time and system energy consumption. |
| |
| Keywords: | modified genetic algorithm group control object multi.objective optimization |
| 本文献已被 维普 等数据库收录！ |
