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.

Meeting Name

ASME 2006 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (2006: Sep. 10-13, Philadelphia, PA)

Department(s)

Mechanical and Aerospace Engineering

Keywords and Phrases

Conceptual Design Stages; Detailed Design Stages; Functional Modeling Techniques; Genetic algorithms

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2006 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

13 Sep 2006

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