caa a22 4500 445852534 CHVBK 20180317145417.0 cr unu---uuuuu 170323e20110801xx s 000 0 eng 10.1007/s11227-010-0390-6 doi (NATIONALLICENCE)springer-10.1007/s11227-010-0390-6 DEEP—differential evolution entirely parallel method for gene regulatory networks [Elektronische Daten] [Konstantin Kozlov, Alexander Samsonov] The Differential Evolution Entirely Parallel (DEEP) method is applied to the biological data fitting problem. We introduce a new migration scheme, in which the best member of the branch substitutes the oldest member of the next branch that provides a high speed of the algorithm convergence. We analyze the performance and efficiency of the developed algorithm on a test problem of finding the regulatory interactions within the network of gap genes that control the development of early Drosophila embryo. The parameters of a set of nonlinear differential equations are determined by minimizing the total error between the model behavior and experimental observations. The age of the individuum is defined by the number of iterations this individuum survived without changes. We used a ring topology for the network of computational nodes. The computer codes are available upon request. Springer Science+Business Media, LLC, 2010 Differential evolution nationallicence Optimization nationallicence Regulatory gene networks nationallicence Kozlov Konstantin Department of Computational Biology, State Polytechnical University, 195251, St. Petersburg, Russia aut Samsonov Alexander The A.F. Ioffe Physical Technical Institute of the Russian Academy of Sciences, 194021, St. Petersburg, Russia aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 57/2(2011-08-01), 172-178 0920-8542 57:2<172 2011 57 11227 https://doi.org/10.1007/s11227-010-0390-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-010-0390-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kozlov Konstantin Department of Computational Biology, State Polytechnical University, 195251, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Samsonov Alexander The A.F. Ioffe Physical Technical Institute of the Russian Academy of Sciences, 194021, St. Petersburg, Russia aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 57/2(2011-08-01), 172-178 0920-8542 57:2<172 2011 57 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer