Abstract
Computer-generated designs are useful for situations where standard factorial, fractional factorial or response surface designs cannot be easily employed. Alphabetically-optimal designs are the most widely used type of computer-generated designs, and of these, the D-optimal (or D-efficient) class of designs is extremely popular. D-optimal designs are usually constructed by algorithms that sequentially add and delete points from a potential design by using a candidate set of points spaced over the region of interest. We present a technique to generate D-efficient designs using genetic algorithms (GA). This approach eliminates the need to explicitly consider a candidate set of experimental points and it can be used in highly constrained regions while maintaining a level of performance comparable to more traditional design construction techniques.
Original language | English (US) |
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Pages (from-to) | 28-46 |
Number of pages | 19 |
Journal | Journal of Quality Technology |
Volume | 35 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2003 |
Keywords
- Computer-aided design
- D-optimality
- Design of experiments
- Design optimality
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering