Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design

The Ant colony algorithm has the defects of premature convergence as its parameter selection greatly dependent on the personal experience.In order to solve the problem,a PAAA algorithm to optimization design the planetary gear reducer of the aerator is presented.To meet the constraints condition of...

Full description

Saved in:
Bibliographic Details
Main Authors: Wu Dongmin, Rui Yannian, Shen Ming
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2015-01-01
Series:Jixie chuandong
Subjects:
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.01.032
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850068861959798784
author Wu Dongmin
Rui Yannian
Shen Ming
author_facet Wu Dongmin
Rui Yannian
Shen Ming
author_sort Wu Dongmin
collection DOAJ
description The Ant colony algorithm has the defects of premature convergence as its parameter selection greatly dependent on the personal experience.In order to solve the problem,a PAAA algorithm to optimization design the planetary gear reducer of the aerator is presented.To meet the constraints condition of structure and strength,taking the minimum volume and the highest efficiency of the planetary gear train as objective functions,its optimization mathematics model is established.The Matlab program is wrote to solve the mathematical model by using PAAA algorithm.The research results show that planetary gear train has smaller volume and higher efficiency under assuring the design requirements.The results also verified the PAAA optimization has the advantage of effective,accurate and reliable.
format Article
id doaj-art-2845e48753c2483889d1bc12e9514340
institution DOAJ
issn 1004-2539
language zho
publishDate 2015-01-01
publisher Editorial Office of Journal of Mechanical Transmission
record_format Article
series Jixie chuandong
spelling doaj-art-2845e48753c2483889d1bc12e95143402025-08-20T02:47:56ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392015-01-013915816129914866Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization DesignWu DongminRui YannianShen MingThe Ant colony algorithm has the defects of premature convergence as its parameter selection greatly dependent on the personal experience.In order to solve the problem,a PAAA algorithm to optimization design the planetary gear reducer of the aerator is presented.To meet the constraints condition of structure and strength,taking the minimum volume and the highest efficiency of the planetary gear train as objective functions,its optimization mathematics model is established.The Matlab program is wrote to solve the mathematical model by using PAAA algorithm.The research results show that planetary gear train has smaller volume and higher efficiency under assuring the design requirements.The results also verified the PAAA optimization has the advantage of effective,accurate and reliable.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.01.032Planetary gear reducerPSOACOPAAAOptimization design
spellingShingle Wu Dongmin
Rui Yannian
Shen Ming
Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design
Jixie chuandong
Planetary gear reducer
PSO
ACO
PAAA
Optimization design
title Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design
title_full Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design
title_fullStr Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design
title_full_unstemmed Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design
title_short Application of Particle Swarm Optimization and Ant Colony Optimization integration in the Aerator Reducer Optimization Design
title_sort application of particle swarm optimization and ant colony optimization integration in the aerator reducer optimization design
topic Planetary gear reducer
PSO
ACO
PAAA
Optimization design
url http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2015.01.032
work_keys_str_mv AT wudongmin applicationofparticleswarmoptimizationandantcolonyoptimizationintegrationintheaeratorreduceroptimizationdesign
AT ruiyannian applicationofparticleswarmoptimizationandantcolonyoptimizationintegrationintheaeratorreduceroptimizationdesign
AT shenming applicationofparticleswarmoptimizationandantcolonyoptimizationintegrationintheaeratorreduceroptimizationdesign