ACOGASS: variable, sample and pre-processing selection

Version 1.0.1 (583 KB) by Alejandro Olivieri
Graphical user interface for the simultaneous selection of variables, samples and pre-processing methods in multivariate calibration.
0.0
(0)
1 Download
Updated 20 Feb 2026

View License

ACOGASS is a MATLAB graphical user interface for the simultaneous selection of calibration/validation samples, spectral (or other types of) variables and mathematical pre-processing methods in multivariate calibration with partial leas-squares (PLS-1). The interface integrates different algorithms for the selections: (1) ant colony optimization for variables, (2) genetic algorithms for pre-processing, and (3) Kennard-Stone and SPXY for samples.

Cite As

Alejandro Olivieri (2026). ACOGASS: variable, sample and pre-processing selection (https://au.mathworks.com/matlabcentral/fileexchange/183299-acogass-variable-sample-and-pre-processing-selection), MATLAB Central File Exchange. Retrieved .

An integrated approach to the simultaneous selection of variables, mathematical pre-processing and calibration samples in partial least-squares multivariate calibration. Allegrini, F, Olivieri, AC, Talanta 115 (2013) 755-760.

MATLAB Release Compatibility
Created with R2018b
Compatible with R2012a to R2018b
Platform Compatibility
Windows macOS Linux
Tags Add Tags
Open in new tab
Version Published Release Notes
1.0.1

Description updated
1.0.0