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.
Recommended Citation
R. S. Hutcheson et al., "Application of a Genetic Algorithm to Concept Variant Selection," Proceedings of the ASME Design Engineering Technical Conference, vol. 2006, American Society of Mechanical Engineers, Nov 2006.
Department(s)
Mechanical and Aerospace Engineering
International Standard Book Number (ISBN)
978-079183784-9
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
29 Nov 2006
