CONSTRAINED BACKGROUND BILINEARIZATION WITH A GENERALIZED SIMULATED ANNEALING ALGORITHM

Authors
XIE YL WANG JH LIANG YZ GE K YU RQ
Citation
Yl. Xie et al., CONSTRAINED BACKGROUND BILINEARIZATION WITH A GENERALIZED SIMULATED ANNEALING ALGORITHM, Journal of chemometrics, 7(5), 1993, pp. 369-379
Citations number
12
Categorie Soggetti
Chemistry Analytical","Statistic & Probability
Journal title
Journal of chemometrics → ACNP
ISSN journal
08869383
Volume
7
Issue
5
Year of publication
1993
Pages
369 - 379
Database
ISI
SICI code
0886-9383(1993)7:5<369:CBBWAG>2.0.ZU;2-X
Abstract
Generalized simulated annealing (GSA) is an optimization technique for locating the global optimum. In this paper GSA was used as the optimi zation procedure in the constrained background bilinearization (CBBL) of two-way bilinear data in order to reduce the possibility of sinking into local optima. The behaviour of the algorithm and its comparison with the modified Powell algorithm were studied by simulations and rea l fluorescence excitation-emission data for organic dye mixtures.