In this paper, the problem of operational dispatch control in electric power systems is proposed to be solved using a decision support method based on expert systems. This article provides general information about the role of decision support systems in the management of complex technological processes. The architecture of the intelligent decision support system has been designed. The development of a knowledge base for an expert system, which consists of 56 rules, was carried out in the CLIPS environment. A fragment of the created expert system knowledge base is also given. The developed decision support system based on the expert system allows you to increase control over the city’s power supply systems and to develop recommendations for further actions in the event of any system element failure.

Keywords: expert system, knowledge base, CLIPS, management, decision support systems, intelligent management, energy, power supply systems

The article presents a hardware genetic algorithm for the synthesis of finite state machines. Testing of the proposed genetic algorithm has shown that its use improves the quality of solving problems of the synthesis of finite automata in combination with a decrease in the time of obtaining a optimal solution (compared to algorithms known in this field). It also describes the hardware and software platform used to build evolutionary hardware. The system was testing by synthesis of finite state machine in the problem of "Smart Ant"

Keywords: evolutionary synthesis, finite state machines, genetic algorithms, evolutionary algorithms, evolutionary electronics

The article describes the main problems of circuit simulation. The problem of solving ill-conditioned systems of linear algebraic equations (SLAE) of large dimension. The modified algorithm is a linear algebraic solutions. Described a hybrid evolutionary algorithm for solving linear systems based on the proposed modified method. The results of the pilot study and comparison of the algorithm with the algorithms based on the traditional methods for solving linear algebraic equation, which confirm the advantages of the hybrid evolutionary algorithm.

Keywords: Genetic operators, evolutionary algorithm, the system of linear algebraic equations, computer-aided design.