Premium
Ant Colony Algorithm and Optimization of Test Conditions in Analytical Chemistry
Author(s) -
YaPing Ding,
QingDe Su,
QingSheng Wu
Publication year - 2003
Publication title -
chinese journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.28
H-Index - 41
eISSN - 1614-7065
pISSN - 1001-604X
DOI - 10.1002/cjoc.20030210606
Subject(s) - chemometrics , ant colony optimization algorithms , convergence (economics) , residual , algorithm , chemistry , function (biology) , position (finance) , multivariate statistics , nonlinear system , mathematical optimization , mathematics , computer science , machine learning , chromatography , physics , finance , quantum mechanics , evolutionary biology , economics , biology , economic growth
The research for the new algorithm is in the forward position and an issue of general interest in chemometrics all along. A novel chemometrics method, Chemical Ant Colony Algorithm, has first been developed. In this paper, the basic principle, the evaluation function, and the parameter choice were discussed. This method has been successfully applied to the fitting of nonlinear multivariate function and the optimization of test conditions in chrome‐azure‐S‐Al spetrophotometric system. The sum of residual square of the results is 0.0009, which has reached a good convergence result.