Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The problems of control applied investment processes under risk conditions are considered. Firstly, theoretical considerations given regarding the formulation and approximate solution of the optimization problem in the presence of finite series of observation of the flow of the process. □ Secondly, we present the results of the computational experiments.
Empowering a person automatically leads to the need for decision-making or, in other words, the need to optimize their activities — to exclude mistakes in decision-making, or at least to minimize them. At present, the process of optimization itself is bringing the system to the optimal (best) or, profitable solution. Synthesis of methods of system analysis and optimization is one of the best ways...
The hydrothermal coordination can be defined as a problem to determine the optimum usage of the hydroelectric and thermoelectric resources available during a period. In hydrothermal generation systems with a predominance of hydroelectric power plants, like in the Brazilian system, the problem consists in replacing the thermal generation by hydropower generation to minimize the system operational costs...
The dynamic characteristics of a hydraulic turbine governing system is determined by the parameters of the hydraulic turbine governor. There are several drawbacks of the conventional particle swarm algorithm in parameter optimization, such as low speed of convergence, low accuracy and being inclined to result in partial optimization during the process of optimization. This paper introduced concave...
Sparse representations of sound fields have become popular in various acoustic inverse problems. The simplest models assume spatial sparsity, where a small number of sound sources are located in the near-field. However, the performance of these models deteriorates in the presence of strong reverberation. To properly treat the reverberant components, we introduce three types of reverberation models:...
The commonly used preference elicitation method in decision making is the one using pairwise comparison between alternatives. In this kind of decision making scenario, an essential issue requiring attention is that of consistency, particularly in decision problems with numerous alternatives. Consistency is usually linked to the transitivity concept, which is modeled in several diverse ways. Given...
The best service systems aren't just cost-effective. They also respond quickly, handle smoothly and recover promptly from disruptions. This paper proposes a linear piece-wise recovery function and applies it to the decision-making processes of improving a service system's resilience to disasters. A numeric example is developed to demonstrate the proposed model enables tradeoff between a cost minimum...
In the machining process, the rationalization of the cutting amount is an important way to effectively improve the productivity, reduce the cost and improve the quality of the workpiece. The rapid development of genetic algorithm has made remarkable achievements in solving the problem of nonlinear optimization. However, in the process of machining, there are many factors that affect the amount of...
In this paper, we present a gradient algorithm to identify a damping rate function for a non-Markovian single qubit system. The dynamics of the single qubit system in a non-Markovian environment are assumed to obey a time convolutionless master equation, where all the non-Markovian effects of the environment are combined in the unknown damping rate function. To identify the damping rate function,...
The use of solar energy to produce mechanical or electrical energy is presently a good related to environmental concern and sustainable power production. We propose in this paper to develop a model of a Thermomechanical solar system, with a Stirling engine. The presented model is a first step in the optimization of the main functional parameters, using only thermodynamics of the system (whatever the...
The effective solution of operation problems, adjustment and dispatching management of thermal networks can be obtained applying modern mathematical modeling methods, calculation and optimization. However, lack of reliable information about their actual parameters and characteristics substantially depreciates virtually all sets of these methods. The majority of thermal networks parameters and characteristics...
The conceptual framework of future power grid incorporates self-automated power flow components. It incorporates high penetration of intermittent renewable energy and variable users' load demands. To establish an efficient real-time power flow mechanism, a realization of the exact amount of energy generation and consumption is inevitable. Hence, we propose a novel framework of a smart micro-grid (SMG),...
In this paper, a novel optimization method is proposed to minimize the fuel consumption for plug-in hybrid electric vehicles (PHEVs). First, the quadratic relationship between fuel rate and battery power is constructed. Then, based on the above relationship, the optimal battery power sequence can be gained by quadratic programming (QP). In addition, to find the optimal engine on-off command, genetic...
The paper present an architecture multi-controller based in conventional PID controller and robust Fractional PID controller (FOPID) using PSO algorithm to optimize the parameters of PID and FOPID, and improved the robustness. This approach applied to control robotics wrist (Robot RX-90 Staübli). A brief overview of the process with a non-linear and linear mathematical modeling of the process. Principle...
The objective of this paper is to optimize a 3/4 coil-type axial magnetic field (AMF) contact design used for 126 kV vacuum interrupter. Through central composite design and finite element calculation, axial magnetic field characteristics and loop resistance of the contact system with various design parameters were obtained. Four contact parameters including coil width w, coil height h, air gap width...
The development of Information and Communication Technologies (ICT) and the widespread growth of Internet has revolutionized the way of performing commercial operations. Due to this the organizations must reconsider the use of systemic thinking and aim their business models towards more globalized tendencies. All this has helped many companies to see the electronic commerce as a new way of on-line...
This paper presents an accelerated methodology to design a circular polarizer based on modified Jerusalem cross unit cells. The proposed three-layer planar polarizer features a high transparency to both TE and TM polarized fields while providing a quadrature phase difference between them, as required for the generation of circularly polarized fields. The structure is designed employing a circuit-driven...
Urban evacuation is of great significance in saving human lives when disasters strike major cities. Comparing with the large population to evacuate, the number of evacuation guiders is much smaller. Since the location of evacuation guiders can greatly influence the evacuation process, it is crucial to identify the most critical locations to assign guiders. The assignment optimization for evacuation...
Analysis of network traffic behavior and modeling to predict, for network management and security early warning has a very important significance. An improved FOA-ESN method using opposition-based learning (OBL) mechanism for the network traffic prediction with multiple steps is proposed in this paper. Firstly, reconstructing the phase space of the original network flow time series, and then building...
In this paper, we employ a multilayer decentralized control and an advanced PID control to solve the coordinated ramp control problem. Furthermore, we use a hybrid optimization approach to adjust the PID parameters. This hybrid approach in use is the combination of a genetic algorithm (GA) and an ant colony algorithm (ACA). First, a macroscopic and dynamic freeway traffic flow model called a finite-difference...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.