Garrett Daniel Foster

Works (6)

Updated: July 5th, 2023 15:43

2014 journal article

Creating targeted initial populations for genetic product searches in heterogeneous markets

ENGINEERING OPTIMIZATION, 46(12), 1729–1747.

By: G. Foster n, C. Turner n, S. Ferguson n & J. Donndelinger *

author keywords: genetic search; market-based product design; product line optimization; mixed-integer optimization
TL;DR: This article draws on research advances in market-based product design and heuristic optimization to strategically construct ‘targeted’ initial populations, creating designs that lead to computational savings and product configurations with improved market share of preferences. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2013 conference paper

Effects of feedback on design space exploration

Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2013, vol 1.

By: G. Foster n, J. Denhart n & S. Ferguson n

TL;DR: This paper investigates two feedback elements for their ability to enhance students’ understanding of the tradeoffs inherent in a water rocket propulsion design problem: a Latin hypercube sample that allows the student to select a starting point and sensitivity values that displayed local gradient information. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2013 conference paper

Enhanced targeted initial populations for multiobjective product line optimization

Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2013, vol 3A.

By: G. Foster n & S. Ferguson n

TL;DR: The creation of targeted initial populations for genetic algorithms is extended to multiobjective product line design problems by using the objectives of the problem, instead of product level utility, to identify candidate designs. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2013 journal article

Exploring the Effectiveness of Using Graveyard Data When Generating Design Alternatives

JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 13(4).

By: G. Foster* & S. Ferguson n

author keywords: design alternatives; multiobjective optimization; multiobjective genetic algorithms; design space exploration; MGA
TL;DR: Results from these studies indicate that using graveyard data allows for the discovery of alternative designs that are at least 70% as unique as alternatives found using an optimization-based alternative identification approach, while saving a significant number of functional evaluations. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 conference paper

The creation of design modules for use in engineering design education

Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, vol 7, 23–36.

By: G. Foster n, M. Holland n, S. Ferguson n & W. Deluca  n

TL;DR: The investigators hypothesize that the use of computational modules would eliminate the repetitive analysis barrier in design problems, thus allowing for design-related experiences to be included earlier in the curricula as opposed to postponing it to a capstone experience. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2011 conference paper

Assessing the effectiveness of using graveyard data for generating design alternatives

Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 2011, vol 5, pts A and B, 563–576.

By: G. Foster n & S. Ferguson n

TL;DR: Results from this work show the graveyard can be used as a way of inexpensively generating alternatives that are close to ideal, especially nearer to the starting design, and it is demonstrated that graveyard information can beused to increase the performance of the Nelder-Mead simplex method when searching for alternative designs. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.