Title :
The application of genetic algorithms in high-rise elevator systems
Author :
Jixian Meng ; Xinzhong Lu ; GongYao Wu ; Yandong Gao
Author_Institution :
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
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.
Keywords :
genetic algorithms; lifts; transportation; genetic algorithm application; highrise elevator systems; multiobjective programming model; passenger service; uppeak traffic conditions; Educational institutions; Elevators; Floors; Genetic algorithms; Genetics; Optimization; Programming; genetic algorithm; multi-objective programming; partition running;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022222
