Skip to main content

An Error Function for Optimum Dimensional Synthesis of Mechanisms Using Genetic Algorithms

  • Conference paper
IUTAM Symposium on Evolutionary Methods in Mechanics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 117))

  • 327 Accesses

Abstract

In this paper an error function for optimum dimensional synthesis of mechanisms using genetic algorithms is presented. This function is general for its use with any mechanism with R and P joints. This minimization function is established as the quadratic addition of the minimum linear or angular distance to the synthesis positions which can be achieved by the mechanism. To get this distance, a non-linear function must be iteratively solved, leading to a high computational cost function. In order to reduce the computational cost, variable complexity functions techniques can be applied. Solutions obtained with this genetic algorithm are a good starting point for further numerical optimization methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Avilés; G. Ajuria; E. Amezua; V. Gomez-Garay, A finite element approach to the position problems in open-loop variable geometry trusses, Finite elements Anal. Design, Vol.34, 2000, pp.233–255

    Google Scholar 

  2. R. Avilés, G. Ajuria, A. Bilbao, J Vallejo, Lagrange multipliers and the primal-dual meted in the nonlinear static equilibrium of multibody systems, Commun. Numer. Math. Eng., Vol.14, 1998, pp.463–472

    Google Scholar 

  3. J.M. Jiménez; G. Álvarez; J. Cardenal; J. Cuadrado, A Simple and General Method for Kinematic synthesis of spatial mechanisms, Mechanism and Machine Theory, Vol.32, No.3, 1997, pp. 323–341

    Google Scholar 

  4. J.R. McGarva, Rapid search and selection of path generating mechanisms from a library, Mech. Mach. Theory, Vol 29, No.2, 1994, pp.223–235.

    Article  Google Scholar 

  5. C. Zhang, R.L. Norton, T. Hammond, Optimization of parameters for specified path generation using an atlas of coupler curves of geared five bar linkages, Mech. Mach. Theory Vol 19, 1984, pp. 459–466.

    Article  Google Scholar 

  6. A. Vasiliu; B. Yannou, Dimensional synthesis of planar mechanisms using neural networks, application to path generator linkages, Mechanism and Machine Theory, Vol 36, No 2, 2001, pp. 299–310

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Kluwer Academic Publishers

About this paper

Cite this paper

de Bustos, I.F., Aguirrebeitia, J., Gomez-Garay, V., Aviles, R. (2004). An Error Function for Optimum Dimensional Synthesis of Mechanisms Using Genetic Algorithms. In: Burczyński, T., Osyczka, A. (eds) IUTAM Symposium on Evolutionary Methods in Mechanics. Solid Mechanics and Its Applications, vol 117. Springer, Dordrecht. https://doi.org/10.1007/1-4020-2267-0_6

Download citation

  • DOI: https://doi.org/10.1007/1-4020-2267-0_6

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-2266-1

  • Online ISBN: 978-1-4020-2267-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics