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Introduction to quality engineering : designing quality into products and processes
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The article was published on 1986-01-01 and is currently open access. It has received 765 citations till now. The article focuses on the topics: Quality assurance & System of systems engineering.read more
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Bayesian Optimization for Adaptive Experimental Design: A Review
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References
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Journal ArticleDOI
Evolutionary Optimization: Pitfalls and Booby Traps
TL;DR: The goal is to equip practitioners and researchers alike with a clear picture and understanding of what kind of problems can render EC applications unsuccessful and how to avoid them from the start.
Proceedings ArticleDOI
A Stochastic Approach to Multi-disciplinary Aircraft Analysis and Design
TL;DR: In this paper, the 36th Aerospace Sciences Meeting and Exhibit, Reno, NV, January 12-15, 1998, was presented by the authors of the paper, "Agarwal et al.
Product Development - Managing a Dispersed Process by
TL;DR: Eppinger and Eppinger as mentioned in this paper discuss how to gather and use information about the customer in the design, testing, launch, and management of new products from a marketing perspective.
Book ChapterDOI
Why Is Optimization Difficult
TL;DR: This chapter aims to address some of the fundamental issues that are often encountered in optimization problems, making them difficult to solve, and to help both practitioners and fellow researchers to create more efficient optimization applications and novel algorithms.
Efficient nearly orthogonal and space-filling experimental designs for high-dimensional complex models
TL;DR: This dissertation develops a set of experimental designs for search over as many as 22 variables in as few as 129 runs, which combine orthogonal Latin hypercubes and uniform designs to create designs having near orthogonality and excellent space-filling properties.