GENETIC ALGORITHM AS A TOOL FOR SELECTION OF D-OPTIMAL DESIGN

Authors
BROUDISCOU A LEARDI R PHANTANLUU R
Citation
A. Broudiscou et al., GENETIC ALGORITHM AS A TOOL FOR SELECTION OF D-OPTIMAL DESIGN, Chemometrics and intelligent laboratory systems, 35(1), 1996, pp. 105-116
Citations number
11
Categorie Soggetti
Computer Application, Chemistry & Engineering","Instument & Instrumentation","Chemistry Analytical","Computer Science Artificial Intelligence","Robotics & Automatic Control
Journal title
Chemometrics and intelligent laboratory systems → ACNP
ISSN journal
01697439
Volume
35
Issue
1
Year of publication
1996
Pages
105 - 116
Database
ISI
SICI code
0169-7439(1996)35:1<105:GAAATF>2.0.ZU;2-9
Abstract
Asymmetrical designs are now widely used in the industrial world. Howe ver, the traditional methods to construct them are very poor and diffi cult to handle. To construct experimental design in 'non-standard' occ urrences, algorithmic methods, such as Fedorov's or Mitchell's algorit hms, are broadly used. But in case of high dimensionality, this class of algorithms cannot be used, In this paper, a new technique based on the genetic algorithm for constructing experimental designs is describ ed.