Optimal Gray GM(1,1) Model Based on Genetic Algorithm and Its Verification

Zuo Yong LI;Ming ZHANG;Xin Min DENG

Systems Engineering - Theory & Practice ›› 2002, Vol. 22 ›› Issue (8) : 136-139.

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PDF(119 KB)
Systems Engineering - Theory & Practice ›› 2002, Vol. 22 ›› Issue (8) : 136-139. DOI: 10.12011/1000-6788(2002)8-136
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Optimal Gray GM(1,1) Model Based on Genetic Algorithm and Its Verification

  • Zuo Yong LI,Ming ZHANG,Xin Min DENG
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Abstract

Accelerating genetic algorithm (AGA) and least square method(LSM) were used to solving the parameters of gray GM(1,1) model for the modellings of stable data sequence and unstable deta sequence, respectively. It is shown that there is little difference of the precisions of model to solving parameters between AGA and LSM for stable data sequence, but the precision of fitting and forecasting of model to solving parameters based on AGA is much more than that of LSM for unstable data sequence.

Key words

genetic algorithm / GM(1:1) model / least square method / parameter optimum

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Zuo Yong LI , Ming ZHANG , Xin Min DENG. Optimal Gray GM(1,1) Model Based on Genetic Algorithm and Its Verification. Systems Engineering - Theory & Practice, 2002, 22(8): 136-139 https://doi.org/10.12011/1000-6788(2002)8-136
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