×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
长春光学精密机械与物... [1]
内容类型
会议论文 [1]
发表日期
2010 [1]
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共1条,第1-1条
帮助
限定条件
发表日期:2010
专题:长春光学精密机械与物理研究所
第一署名单位
第一作者单位
通讯作者单位
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
Energy-saving scheduling strategy for elevator group control system based on ant colony optimization (EI CONFERENCE)
会议论文
2010 IEEE Youth Conference on Information, Computing and Telecommunications, YC-ICT 2010, November 28, 2010 - November 30, 2010, Beijing, China
Zhang J.-L.
;
Tang J.
;
Zong Q.
;
Li J.-F.
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2013/03/25
Elevator group control scheduling is to dispatch every elevator to serve call requests from different floors based on some certain goal. It's a kind of typical combinatorial optimization problems. Ant colony algorithm is good at solving the discrete combinatorial optimization
its well global optimization ability and quick convergence velocity are both necessary to a scheduling algorithm. Moreover
reducing passengers' waiting and traveling time is the main focus of current dispatching algorithms
neglecting the energy consumed by the elevator system. So it's necessary to research on energy-saving algorithms. For the purpose of elevator group's energy-conservation run
the objective function of energy is built
ant colony model for elevator group control system is created
its optimization mechanism is figured out
and convergence of the algorithm is studied in this paper. Simulation results show the effectiveness of the strategy. 2010 IEEE.
©版权所有 ©2017 CSpace - Powered by
CSpace