id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_33nbguho3jgb5kkpigcjwnzm64	Konstantin Kozlov	A software for parameter optimization with Differential Evolution Entirely Parallel method	2016	20	.pdf	application/pdf	7623	963	57	finding unknown real and integer parameters in dynamical models of biological Keywords Differential Evolution, Parameter optimization, Mathematical modeling, (2016), A software for parameter optimization with Differential Evolution Entirely Parallel method. DEEP method was developed to solve the inverse problem of mathematical modeling. and maximal number of iterations Gmax are the main control parameters of the method. of different algorithmic parameters on method convergence was discussed in Kozlov & function is better, and a randomly selected value is less than the predefined parameter for real to integer are implemented in DEEP method as described in Kozlov et al. problem based on real biological model of gap gene regulatory network (Kozlov et al., Figure 1 Comparison of number of objective function evaluations for DEEP and MEIGOR on reduced Evolution of three objective functions during parameter fitting (C). The parallelization of objective function calculation implemented in DEEP method	./cache/work_33nbguho3jgb5kkpigcjwnzm64.pdf	./txt/work_33nbguho3jgb5kkpigcjwnzm64.txt