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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Editorial Office of Journal of Mechanical Strength
2018-01-01
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Series: | Jixie qiangdu |
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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 |