Title :
Research of elevator group control multi-objective co-evolutionary algorithm
Author :
Feng, Lei ; Liu, Chunlei ; Zhang, Xin
Author_Institution :
Sch. of Electr. & Inf., Changchun Inst. of Technol., Changchun, China
Abstract :
This paper analyzes the EGCS in detail and analyzes the disadvantage of multi-objective optimization method according to the feature of EGCS in the basis of general EGCS control rule and multi-objective plan. Multi-objective co-evolutionary algorithm is used EGCS to modeling because the multi-objective optimization method makes the operation speed slow in order to improve service quality and operation efficiency of elevator. So, this paper puts forward co-evolutionary arithmetic operator and multi-objective evolutionary algorithm for optimal multi-objective optimization. We apply Visual Basic to simulate EGCS and simulation effect shows that the algorithm has advantage and excellent engineering application value.
Keywords :
evolutionary computation; lifts; optimisation; elevator group control; multiobjective co-evolutionary algorithm; multiobjective optimization; operation efficiency; service quality; visual basic; Algorithm design and analysis; Control systems; Data models; Elevators; Evolutionary computation; Floors; Optimization; EGCS; computer simulation; multi-objective Co-evolutionary algorithm; multi-objective optimization;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583487