@inproceedings{a555d2ff8b02400584cfccb56cda333b,
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.",
author = "Hutcheson, {Ryan S.} and Jordan, {Robert L.} and Stone, {Robert B.} and Terpenny, {Janis P.} and Chang Xiaomeng",
year = "2006",
month = nov,
day = "29",
language = "English (US)",
isbn = "079183784X",
series = "Proceedings of the ASME Design Engineering Technical Conference",
booktitle = "Proceedings of 2006 ASME International Design Engineering Technical Conferences and Computers and Information In Engineering Conference, DETC2006",
note = "2006 ASME International Design Engineering Technical Conferences and Computers and Information In Engineering Conference, DETC2006 ; Conference date: 10-09-2006 Through 13-09-2006",
}