Skip to main content
SpringerLink
Log in

Genetic search strategies in multicriterion optimal design

  • Originals
  • Published:
Structural optimization Aims and scope Submit manuscript

Abstract

The present paper describes an implementation of genetic search methods in multicriterion optimal designs of structural systems with a mix of continuous, integer and discrete design variables. Two distinct strategies to simultaneously generate a family of Pareto optimal designs are presented in the paper. These strategies stem from a consideration of the natural analogue, wherein distinct species of life forms share the available resources of an environment for sustenance. The efficacy of these solution strategies are examined in the context of representative structural optimization problems with multiple objective criteria and with varying dimensionality as determined by the number of design variables and constraints.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Deb, K.; Goldberg, D.E. 1989: An investigation of niche and species formation in genetic function optimization, genetic algorithms and their applications.Proc. Third Int. Conf. Genetic Algorithms

  • Goldberg, D.E.; Richardson J. 1987: Genetic algorithms with sharing for multimodal function optimization, genetic algorithms and their applications.Proc. Second Int. Conf. Genetic Algorithms

  • Goldberg, D.E. 1989:Genetic algorithms in search, optimization, and machine learning. Reading: Addison Wesley

    Google Scholar 

  • Hajela, P. 1989: Genetic algorithms in automated structural synthesis. In: Topping, B.H.V. (ed.)Optimization and decision support systems. Dordrecht: Kluwer

    Google Scholar 

  • Hajela, P. 1990: Genetic search - an approach to the nonconvex optimization problem.AIAA J. 26, 1205–1210

    Google Scholar 

  • Hajela, P.; Shih, C.-J. 1989: Optimal design of laminated composites using a modified mixed integer and discrete programming algorithm.Comput. & Struct. 32, 213–221

    Google Scholar 

  • Hajela, P.; Shih, C.-J. 1990: Multiobjective optimum design in mixed integer and discrete design variable problems.AIAA J. 28, 670–675

    Google Scholar 

  • Holland, J.H. 1975:Adaptation in natural and artificial systems. Ann Arbor: The University of Michigan Press Hwang, C.L.; Masud, A.S.M. 1979: Multiple objective decision making: methods and applications; a state-of the art survey.Lecture notes in economics and mathematical systems 164. Berlin, Heidelberg, New York: Springer

    Google Scholar 

  • Lin, C.-Y.; Hajela, P. 1991: Genetic algorithms in structural optimization problems with discrete and integer design variables.J. Engrg. Opt. (to be published)

  • Pareto, V. 1896:Cours d'economie politique. Lausanne: F. Rouge

    Google Scholar 

  • Rechenberg, I. 1965: Cybernetic solution path of an experimental problem.Royal Aircraft Establishment, Library Translation 1122

  • Schaffer, J.D. 1984:Some experiments in machine learning using vector evaluated genetic algorithms. Ph.D. Thesis, Vanderbilt University, Nashville

    Google Scholar 

  • Schmit, L.A.; Miura, H. 1976: Approximation concepts for efficient structural synthesis.NASA CR-2552

  • Sobieszczanski-Sobieski, J. 1983: Structural optimization challenges and opportunities.Proc. Int. Conf. Modern Vehicle Design Analysis (held in London)

Download references

Author information

Authors and Affiliations

  1. Mechanical Engineering & Mechanics, Rensselaer Polytechnic Institute, Troy, New York, USA

    P. Hajela

  2. Aerospace Engineering, Mechanics and Engineering Science, University of Florida, Gainsville, USA

    C. -Y. Lin

Authors
  1. P. Hajela
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. C. -Y. Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Communicated by J. Sobieski

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hajela, P., Lin, C.Y. Genetic search strategies in multicriterion optimal design. Structural Optimization 4, 99–107 (1992). https://doi.org/10.1007/BF01759923

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01759923

Keywords

Search

Navigation