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Application of a Genetic Algorithm to Concept Variant Selection

[+] Author Affiliations
Ryan S. Hutcheson, Robert L. Jordan, Jr., Robert B. Stone

University of Missouri at Rolla, Rolla, MO

Janis P. Terpenny, Xiaomeng Chang

Virginia Polytechnic Institute and State University, Blacksburg, VA

Paper No. DETC2006-99390, pp. 43-52; 10 pages
  • ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 32nd Design Automation Conference, Parts A and B
  • Philadelphia, Pennsylvania, USA, September 10–13, 2006
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4255-X | eISBN: 0-7918-3784-X
  • Copyright © 2006 by ASME


This paper outlines a framework for applying a genetic algorithm to the selection of component variants between the conceptual and detailed design stages of product development. A genetic algorithm (GA) is defined for the problem and an example is presented that demonstrates its application and usefulness. Functional modeling techniques are used to formulate the design problem and generate the chromosomes that are evaluated with the algorithm. In the presented example, suitable GA parameters and the break-even point where the GA surpassed an enumerated search of the same solution space were found. Recommend uses of the GA along with limitations of the method and future work are presented as well.

Copyright © 2006 by ASME



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