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An algorithmic construction of four-level response surface designs

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.

0361-0918
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
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), 2152-2160. (doi:10.1080/03610910903259634).

Record type: Article

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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Contributors

Author: C. Koukouvinos
Author: K. Mylona
Author: D. E. Simos
Author: A. Skountzou

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