Abstract: The relevant problem of the structural-parametric synthesis of large discrete systems with a specified behavior assuming the translation of a given input signal into the required reference output signal through intermediate states of the system is studied herein. In order to solve the time-consuming task of synthesizing this kind of systems, a combined approach is proposed that is based on the use of evolutionary methods, the mathematical apparatus of petri nets and simulation modeling. The study presents a model of an adapted genetic algorithm, making it possible to perform a procedure of both structural and parametric synthesis of large discrete systems with a specified behavior. Also, the use of binary trees for the purposes of representation of the elements and the interelement links in the genotype describing the model of a large discrete system with a specified behavior is suggested which makes it possible to apply genetic programming in solving the problem of structural and parametric synthesis of large discrete systems. The computational experiments carried out using the constructed model and the developed software and the models of the element base on the basis of the petri net theory, presented herein, testify to the effectiveness of the proposed procedure for the structural-parametric synthesis of large discrete systems with a specified behavior. Also, the possibility of using the parallel computations that will reduce the time of synthesis of the models of projected systems is considered in this scientific paper. The presented calculations made using the Amdahl law show how the response rate changes with the increase in the number of computers in solving the problem of structural-parametric synthesis of large discrete systems on the basis of the proposed approach.
David Aregovich Petrosov, Vadim Aleksandrovich Lomazov, Sergey Vasilievich Klyuev, Muravyov Konstantin Aleksandrovich, Aleksandr Leonidovich Mironov and Fomina Marina Vasilievna, 2018. Intellectual Structural-parametric Synthesis of Large Discrete Systems with Specified Behavior. Journal of Engineering and Applied Sciences, 13: 2177-2182.