An algorithmic construction of four-level response surface designs
An algorithmic construction of four-level response surface designs
Response surface methodology is widely used for developing, improving, and optimizing processes in various fields. In this article, we present a method for constructing four-level design matrices in order to explore and optimize response surfaces where the predictor variables are each at four equally spaced levels, by utilizing a genetic algorithm. The produced designs achieve both properties of near-rotatability and estimation efficiency.
2152-2160
Koukouvinos, C.
3c626a53-575f-4c62-9b9a-a949f717764b
Mylona, K.
b44af287-2d9f-4df8-931c-32d8ab117864
Simos, D. E.
54cc2119-ac6e-4ed9-8ec4-047a67f58d9e
Skountzou, A.
6aff5daf-c457-4c17-8371-853402228c42
29 September 2009
Koukouvinos, C.
3c626a53-575f-4c62-9b9a-a949f717764b
Mylona, K.
b44af287-2d9f-4df8-931c-32d8ab117864
Simos, D. E.
54cc2119-ac6e-4ed9-8ec4-047a67f58d9e
Skountzou, A.
6aff5daf-c457-4c17-8371-853402228c42
Koukouvinos, C., Mylona, K., Simos, D. E. and Skountzou, A.
(2009)
An algorithmic construction of four-level response surface designs.
Communications in Statistics - Simulation and Computation, 38 (10), .
(doi:10.1080/03610910903259634).
Abstract
Response surface methodology is widely used for developing, improving, and optimizing processes in various fields. In this article, we present a method for constructing four-level design matrices in order to explore and optimize response surfaces where the predictor variables are each at four equally spaced levels, by utilizing a genetic algorithm. The produced designs achieve both properties of near-rotatability and estimation efficiency.
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Published date: 29 September 2009
Organisations:
Statistics
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Local EPrints ID: 336770
URI: http://eprints.soton.ac.uk/id/eprint/336770
ISSN: 0361-0918
PURE UUID: 9f89235b-f5bb-4a6c-b729-6c64ed3ee557
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Date deposited: 03 Apr 2012 16:25
Last modified: 14 Mar 2024 10:46
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Author:
C. Koukouvinos
Author:
K. Mylona
Author:
D. E. Simos
Author:
A. Skountzou
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