TY  - JOUR
T1  - FINDING EXACT NUMBER OF PEAKS IN BROADBAND UV-VIS SPECTRA USING CURVE FITTING METHOD BASED ON EVOLUTIONARY COMPUTING
AU  - Avcu, Fatih Mehmet
AU  - Karakaplan, Mustafa
PY  - 2020
DA  - February
Y2  - 2019
DO  - 10.18596/jotcsa.583632
JF  - Journal of the Turkish Chemical Society Section A: Chemistry
JO  - JOTCSA
PB  - Turkish Chemical Society
WT  - DergiPark
SN  - 2149-0120
SP  - 117
EP  - 124
VL  - 7
IS  - 1
LA  - en
AB  - High performance calculations areneeded in order to resolve analytic signals of the day. But it requires verylong periods of time to perform these calculations with single processorsystems. In order to reduce these calculation times, there is a need to turn toparallel programming algorithms that share more than one processor. Recently,solving complex problems with genetic algorithms has been widely used incomputational sciences. In this work, we show a new method of curve fitting viagenetic algorithm based on Gaussian functions, for deconvolution theoverlapping peaks and find the exact number of peaks in UV-VIS absorptionspectroscopy. UV-VIS spectra are different than other instrumental analysisdata. The resolution of UV-VIS spectra is a complicated because of that theabsorption bands are strongly overlapped. Useful information about molecularstructure and environment can often be obtained by resolving these peaksproperly. The algorithm was parallelized with the island model in which eachprocessor computes a different population. This method has been used for resolvingof the UV-VIS overlapping spectrum. The method particular algorithm is robustby bad resolution or noise. The results show that it is satisfactory andclearly show the effectiveness of the proposed method.
KW  - UV-VIS spectroscopy
KW  - Data fitting
KW  - Genetic algorithm
KW  - Parallel computing
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UR  - https://doi.org/10.18596/jotcsa.583632
L1  - https://dergipark.org.tr/en/download/article-file/859966
ER  -