Title of article :
Curve fitting using heuristics and bio-inspired optimization algorithms for experimental data processing in chemistry
Author/Authors :
M.J. Polo-Corpa، نويسنده , , M.J. and Salcedo-Sanz، نويسنده , , S. and Pérez-Bellido، نويسنده , , A.M. and Lَpez-Espي، نويسنده , , P. and Benavente، نويسنده , , R. and Pérez، نويسنده , , E.، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 2009
Abstract :
This paper analyzes the application of different bio-inspired and heuristic techniques to the problem of curve fitting in experimental chemistry applications. Two different curve models are considered, the well-known Pearson VII function, used before in different curve fitting applications, and a novel hybrid model for transmittance curves, mainly used in the estimation of nitrates concentration in water samples. We describe the performance of an Evolutionary Programming algorithm, a Particle Swarm Optimization technique, a Variable Neighborhood Search algorithm and a Cooperative Coevolution approach in several curve fitting problems, including the processing of real curves such as X-ray diffraction patterns, differential scanning calorimetry curves and transmittance curves of contaminated water samples.
Keywords :
Curve fitting , Experimental chemistry data processing , Heuristics , Bio-inspired optimization algorithms
Journal title :
Chemometrics and Intelligent Laboratory Systems
Journal title :
Chemometrics and Intelligent Laboratory Systems