Paper Info
Title
A software for parameter optimization with Differential Evolution Entirely Parallel method.
Abstract
Differential Evolution Entirely Parallel (DEEP) package is a software for finding unknown real and integer parameters in dynamical models of biological processes by minimizing one or even several objective functions that measure the deviation of model solution from data. Numerical solutions provided by the most efficient global optimization methods are often problem-specific and cannot be easily adapted to other tasks. In contrast, DEEP allows a user to describe both mathematical model and objective function in any programming language, such as R, Octave or Python and others. Being implemented in C, DEEP demonstrates as good performance as the top three methods from CEC-2014 (Competition on evolutionary computation) benchmark and was successfully applied to several biological problems. Availability. DEEP method is an open source and free software distributed under the terms of GPL licence version 3. The sources are available at http://deepmethod.sourceforge.net/ and binary packages for Fedora GNU/Linux are provided for RPM package manager at https://build.opensuse.org/project/repositories/home:mackoel: compbio.
Year
DOI
Venue
2016
10.7717/peerj-cs.74
PEERJ COMPUTER SCIENCE
Keywords
Field
DocType
Differential Evolution,Parameter optimization,Mathematical modeling,Parallelization,Bioinformatics,Open source software
Computer science,Meta-optimization,Differential evolution,Software,Computational science,Open source software
Journal
Volume
ISSN
Citations 
2
2376-5992
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
K Kozlov15312.56
Alexander M. Samsonov200.34
M Samsonova319335.81