English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Aimed at parameters matching of automobile suspension system, this paper was presented an approach to optimize suspension system parameters based on developed chaos-wasp colony algorithm . Firstly, chaos factors were initialized through cube map; Balance of local and global searching of artificial wasp colony algorithm was realized on the basis of inertia weight of exponential decline; Early maturing was judged by fitness variance values. Secondly, dynamic models of quarter suspension were established and Matlab/Simulink software was employed to conduct the simulation experiments by taking integral white noise as road surface input. Results of simulation experiments indicated that developed chaos-wasp colony algorithm was better than tradition algorithms and normal artificial wasp colony algorithm.

Application Research on Developed Chaos-Wasp Colony Algorithm Used in Suspension-Parameter Optimization