Application of Dynamic Chaos PSO Algorithm in Elevator Configuration

Abstract:

A multi-objective optimized mathematical model of elevator configuration is established based on the analysis of the fact that elevator configuration is a problem of multi-objective optimization, and the weight coefficient of multi-objective function is set according to the characteristics of office building traffic flow. Dynamic Chaos Particle Swarm Optimization (DCPSO) algorithm, which is the improvement of the standard PSO algorithm, is used to optimize the multi-objective optimized mathematical model of elevator configuration. An application case illustrates that the DCPSO algorithm is reasonable and effective in elevator configuration through the application system of elevator configuration which is designed by the hybrid programming technology of VB and MATLAB.

• Periodical: Applied Mechanics and Materials (Volume 734)
• Pages: 548-553
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.734.548
• Online since: February 2015
• Authors: Kun She, Lian Zhe Ma, Jian Ru Wan, Dong Hui Li
• Keywords: DCPSO Algorithm, Elevator Configuration, Hybrid Programming, Multi-Objective Optimized Mathematical Model

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