Title

Application of a genetic algorithm to concept variant selection

Abstract

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.

Document Type

Conference Proceeding

DOI

https://doi.org/10.1115/DETC2006-99390

Publication Date

11-29-2006

Journal Title

Proceedings of the ASME Design Engineering Technical Conference

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