@Article{hmt.12.28,
AUTHOR = {Rongge Xiao
, Yue Zhu, Wenbo Jin
, Zheng Dai
, Shifang Li
, Fan Zhang},
TITLE = {STUDY ON WAX DEPOSITION RATE OPTIMIZATION ALGORITHM  BASED ON LEVENBERG-MARQUARDT ALGORITHM AND GLOBAL  OPTIMIZATION},
JOURNAL = {Frontiers in Heat and Mass Transfer},
VOLUME = {12},
YEAR = {2019},
NUMBER = {1},
PAGES = {1--6},
URL = {http://www.techscience.com/fhmt/v12n1/53197},
ISSN = {2151-8629},
ABSTRACT = {In order to accurately obtain the wax deposition rate model, according to the kinetic principle of wax deposition, several factors affecting the wax 
deposition rate were selected, and by a optimization software of First Optimization(1stOpt), The parameters of two typical wax deposition 
rate models are solved respectively based on optimization algorithm combined by Levenberg-Marquardt (L-M) algorithm and global optimization 
and the calculated data were compared. The results show that: compared with the model parameters obtained by least squares method, the model 
parameters obtained by this optimization algorithm can describe the variation of wax deposition rate more accurately. The maximum error is reduced 
from 30% to 10%, and the average error is reduced from 10.3% to 2.42%; Alike, the mathematical model obtained by this optimization algorithm is 
also better than that solved by L-M algorithm alone. The maximum error is reduced from 13.62% to 11%, and the average error is reduced 
from 6.46% to 4.77%. To a certain extent, this optimization algorithm avoids the premature phenomenon caused by using Levenberg-Marquardt 
alone. In addition, the use of the optimization algorithm does not require suitable initial values, prior knowledge and programming, easy to use, and 
has important use value.},
DOI = {10.5098/hmt.12.28}
}