DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM

In view of defect of selecting parameters for automotive suspension system,optimizing method of determining the parameters based on local elitist strategy( LES) and artificial bee colony algorithm( ABC) was proposed through integrating great local seeking ability of LES and great global seeking abil...

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Main Authors: ZHANG HaiTao, WANG AiGuo
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2018-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.02.015
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author ZHANG HaiTao
WANG AiGuo
author_facet ZHANG HaiTao
WANG AiGuo
author_sort ZHANG HaiTao
collection DOAJ
description In view of defect of selecting parameters for automotive suspension system,optimizing method of determining the parameters based on local elitist strategy( LES) and artificial bee colony algorithm( ABC) was proposed through integrating great local seeking ability of LES and great global seeking ability of ABC algorithm.Through Matlab/Simulink software,The simulation of suspension system were carried out; in which integral white noise model were the road input. The simulation discovered that LES-ABC algorithm optimization algorithm has certain advantage compared with traditional algorithms and artificial bee colony algorithm. Riding comfort and handling performance could be enhanced through optimizing system parameters of automotive suspension.
format Article
id doaj-art-9a481918b0054a6fbc3f1b2fc63a26bc
institution Kabale University
issn 1001-9669
language zho
publishDate 2018-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-9a481918b0054a6fbc3f1b2fc63a26bc2025-01-15T02:32:34ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692018-01-014034434830601471DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHMZHANG HaiTaoWANG AiGuoIn view of defect of selecting parameters for automotive suspension system,optimizing method of determining the parameters based on local elitist strategy( LES) and artificial bee colony algorithm( ABC) was proposed through integrating great local seeking ability of LES and great global seeking ability of ABC algorithm.Through Matlab/Simulink software,The simulation of suspension system were carried out; in which integral white noise model were the road input. The simulation discovered that LES-ABC algorithm optimization algorithm has certain advantage compared with traditional algorithms and artificial bee colony algorithm. Riding comfort and handling performance could be enhanced through optimizing system parameters of automotive suspension.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.02.015Parameters for automotive suspension systemLocal elitist strategy(LES)Artificial bee colony algorithm(ABC)Optimizing method
spellingShingle ZHANG HaiTao
WANG AiGuo
DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM
Jixie qiangdu
Parameters for automotive suspension system
Local elitist strategy(LES)
Artificial bee colony algorithm(ABC)
Optimizing method
title DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM
title_full DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM
title_fullStr DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM
title_full_unstemmed DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM
title_short DESIGN OF PARAMETERS OPTIMIZATION FOR AUTOMOBILE SUSPENSION BASED ON ARTIFICIAL BEE COLONY ALGORITHM
title_sort design of parameters optimization for automobile suspension based on artificial bee colony algorithm
topic Parameters for automotive suspension system
Local elitist strategy(LES)
Artificial bee colony algorithm(ABC)
Optimizing method
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2018.02.015
work_keys_str_mv AT zhanghaitao designofparametersoptimizationforautomobilesuspensionbasedonartificialbeecolonyalgorithm
AT wangaiguo designofparametersoptimizationforautomobilesuspensionbasedonartificialbeecolonyalgorithm