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
Recommended Citation
Hutcheson, Ryan S., Robert L. Jordan Jr, Robert B. Stone, Janis P. Terpenny, and Xiaomeng Chang. "Application of a genetic algorithm to concept variant selection." In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol. 4255, pp. 43-52. 2006.
Journal Title
Proceedings of the ASME Design Engineering Technical Conference
