Summary: The paper conducted a systematic analysis and implementation of classification of information systems and automated control systems. Established contradiction between modern needs for effective management of the production of fertilizers and insufficient development of methods to create a simulation, energy saving methods based on solving optimization problems of information protection, automated process control production of mineral fertilizers. Therefore justified the need for the establishment of information technology for optimal process control the production of mineral fertilizers.
Keywords: information technologies, control systems,optimal control, simulation, information systems.
Summary: Application of the following three metaheuristic algorithms to Travelling Salesman Problem (TSP) were explored: Simulated Annealing (SA), Tabu Search (TS), and Ant Colony System (ACS). The performance of software implementation of these approaches was experimentally studied using four test instances of TSP with known optimal solutions. As a result of the experiment, features of solutions found in a set of trials by each algorithm in the same fixed amount of time were assessed. The implementation details of the algorithms and the parameters used for the experiment were thoroughly described. Optimization process was visualized for every algorithm. Conclusions were made regarding the effectiveness of studied algorithms for the different sizes of problem instances used in the experiment.
Key words: travelling salesman problem, metaheuristic optimization algorithms, simulated annealing algorithm, tabu search algorithm, ant colony system algorithm.
Summary: Environmental protection is one of the most important issues of our time. The aim of this work is to compare data obtained with standard methods and by the method of rapid assessment for the factor of noise pollution primarystring site. Method of express-assessment of the noise pollution of the area the territory with country estates building allows to reduce time of monitoring the level of environmental security of the population of the territory under consid-eration, compared to standard methods of determining this indicator.
Key words: quality,ecological safety, noise, pollution.
Summary: For solving the problem of low efficiency and low localization accuracy about EKF-SLAM algorithm in large scale and complicated environment, an improved method by adding an adaptive observation range to EKF-SLAM algorithm was presented. By setting the constraints, the observed environment scale and the number of observed landmarks for mobile robot were constrained. Deleting the landmarks which has observed but beyond the constrained scale by judge the relationship between the observation range and maximum distance, dynamically adjusting the observation range by comparing the number of observed landmarks and number of landmarks. Simulation results demonstrate that the proposed method could reduce the computational and improve efficiency and localization accuracy.
Key words: mobile robot, improved EKF-SLAM algorithm, landmarks.