In paper two-level genetic and ant algorithms are proposed to optimize the functioning of the automated technological machining complex. For suggested genetic and unt algorithms it is designed the object-oriented simulation model, which allows to calculate the fitness function and evaluate potential solutions. The problem-oriented crossover, mutation and reproduction operators for two-level genetic algorithm are developed. The transition and calculation of the concentration for synthetic pheromone rules are determined for suggested ant algorithms.
The article discusses the problem automating the construction of schedules for cement production. The necessity using a computer system for planning the loading of technological equipment is substantiated in order to develop the optimal use of available resources for the timely and high-quality execution production tasks. The essence of the problem is shown, which is to allocate resources (cement mills and produced brands of cement) the production system for a given target plan so as to exclude deviations the real plan from the target, as well as to reduce the number of mill switchings to a minimum. The formalization the task planning the loading the mills is carried out and those essential parameters of the process are given, which are selected as the initial data for solving the task planning the operation of grinding mills. The solution to the problem constructing schedules for the operation of cement mills is based on the use of a genetic algorithm, for which an implementation sequence is proposed. The results solving the problem are also presented, which confirm the correctness the chosen method and its implementation.
This paper proposes a strategy that allows a researcher to choose the most effective method of data analysis according to a given set of criteria. The strategy is based on the Analytic Hierarchy Process, which is a system procedure for hierarchical representation of elements that determine the essence of the problem. An example of applying the strategy using four quality criteria and six cluster analysis methods as research alternatives is given.
The article considers the functions performed by the system for monitoring the fine structure of the water environment hydrophysical fields, starting from initialization the system parameters to visualization the received information. As a result of a detailed analysis the selected functions, which consists in determining the input information flows, their representation and transformation, a functional diagram of the measuring system for monitoring the fine structure of the water environment hydrophysical fields was developed, which allows reducing the cost of conducting sounding and ensuring the necessary measurement accuracy, thanks to the chosen sensing strategy and the use of a database of simulated parameters of turbulated layers .
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