Name
Abstract | ||
|---|---|---|
This paper discusses passenger service in an elevator system in a high-rise commercial building. For the elevator system's up-peak traffic conditions, we have established multi-objective programming model to determine elevator's partition running. Then, using the genetic algorithm to solve the multi-objective programming model, which can be optimized to elevator's running program. Finally, a number of examples of quantitative analysis are made in this paper. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICNC.2011.6022222 | ICNC |
Keywords | Field | DocType |
multi-objective programming,genetic algorithm application,lifts,transportation,highrise elevator systems,uppeak traffic conditions,genetic algorithm,passenger service,genetic algorithms,multiobjective programming model,partition running,genetics,optimization,elevators,programming | Elevator system,Mathematical optimization,Programming paradigm,Simulation,Computer science,Control engineering,Elevator,Genetic algorithm,Traffic conditions | Conference |
Volume | Issue | ISSN |
2 | null | 2157-9555 |
ISBN | Citations | PageRank |
978-1-4244-9950-2 | 1 | 0.37 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jixian Meng | 1 | 1 | 1.05 |
| Xinzhong Lu | 2 | 11 | 2.58 |
| GongYao Wu | 3 | 1 | 0.37 |
| Yandong Gao | 4 | 1 | 0.37 |