The interdisciplinary course "introduction to parallel evolutionary models and algorithms"-teaching experience
N. M. Ershov, Н. Н. Попова · 2015
computations This work is devoted to describing the five-year experience of teaching an introductory course on parallel evolutionary computing at the Faculty of Computational Mathematics and Cybernetics, Moscow State University and the University Dubna. The course covers such popular evolutionary models and algorithms as cellular automata, Lindenmayer systems, Petri nets, artificial neural networks, molecular computation, genetic algorithms, swarm optimization methods, etc. The presentation of theoretical material of the course is accompanied by a consideration of the possible schemes for parallel computing, in the practical part of the course the students supposed to perform a software implementation of evolutionary models using MPI technology and conducting numerical experiments to investigate the effectiveness of selected parallelizing schemes. This work was supported by RFBR (grant №14-07-00628 A).