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This paper discusses the analytical and computational challenges of various sub-gradient and cutting plane methods applied to updating Lagrangian multipliers associated with the Security-Constrained Unit Commitment problem. Large-scale testing systems are used to demonstrate the effectiveness of the different algorithms.
Based on the analysis that H.Agrawal's slicing algorithm produced imprecise result for Circular program, from which a conclusion was drawn that the reason for the imprecision was that the dependence relation of the relied graph was defined too coarsely. Upon which, dynamic program slice algorithm of optimizing dependence was proposed, the connection of the states in a program can be denoted by arrival...
The 3-D substantial model is built for an ultrahigh voltage transformer coil, the equipotential shielding and the bushing end. This model is properly simplified according to the symmetrical structure of the coil. The electric field intensity around the transformer high-voltage coil and the equipotential shielding are calculated on the basis of the finite element method. It is found that the distribution...
During operation, due to changes of temperature, magnetic field, frequency and other factors, electrical and mechanical parameters of induction motor will change. It will affect controlled plant model accordingly bring badly control accuracy directly. In order to obtain better dynamic performance and steady state accuracy, this paper proposes a combination method of online identification and online...
For computer numerical control (CNC) machine tools, the double side air-cored permanent magnet linear servo motor (DAPMLSM) is suitable for high-speed and high-precision servo feed systems. But it also has thrust ripple caused by non-sinusoidal magnetic field distribution. Finite element analysis (FEA) was used to study motor characteristics, and the computer simulation results match well with the...
This paper proposes a method of designing a single neuron adaptive controller, which combines single neuron structure with ant system algorithm. Single neuron structure can implement functions of adaptive and self-learning by adjusting weighting parameters. However, the value of neuron proportional coefficient and the learning rates parameters will affect the performance if they are selected inappropriately...
Nowadays, many industries use the Computerized Numerical Control (CNC) for Printed Circuit Board (PCB) drilling machines in industrial operations. It takes a long time to find optimal tour for large number of nodes (up to thousands). To achieve more effective results, optimization systems approach is required to be equipped in drilling machine. Euclidean Traveling Salesman Problem (TSP) is one of...
Because of the complex influencing factors, it is very difficulty to resolve the problem of large scale pillar extraction and goaf disposal in underground mine. Fortunately, with the rapid development of computational mechanics, numerical methods and computer technology, the feasibility of numerical simulation has become an important feature of the current rock mass mechanics. Accordingly, using the...
Oven controlled crystal oscillators (OCXO) have been widely used in global positioning systems, communications, metering, telemetry control, spectrum, network analyzers and other electronic equipments as a source of time-frequency signal with high precision. Two most important performance indexes of a crystal oscillator are frequency stability and start-up characteristics. In this paper the marriage...
In this paper, we propose a new conjugate gradient method for solving unconstrained optimization problems on the basic of the LS method. Under the strong Wolfe-Powell line search, the global convergence property of the given method is discussed. The numerical results show that this method is promising for the given test problems from.
In order to achieve sustainable development of environment resources, this paper analysis the basic structure of ecological environment and social environment economic input-output theoretically, establish environment economy input-output differential equations and optimization model of water conservancy project, it is proposed to use control theory to solve optimal control sequence and cite an example...
To provide the better treatment in the hospitals, it is required to integrate all the hospitals of the country via internet. While visiting to hospital for treatment, a smart card with 10 digit unique patient-ID with his personal information is issued to the patient from the administrator of the hospital. As per unique patient-ID, all the doctor prescriptions, test reports, MRI, CT-scan images are...
A improved multi-objective evolutionary algorithm based on Three-way radix quicksort (TQIEA ) is presented in this paper for multi-objective optimization problems(MOPs). This algorithm uses the idea of three-way radix quicksort to divided the population into three sections, Recursively sort the different sections until all the individuals have been classified and assigned the fitness value. The proposed...
This study focuses on customer relations management, and utilizes route optimization to achieve efficient delivery. It applies a service-directed architecture technology to allow clients, sellers, and logistics industries in the supply chain to communicate more closely. Through interactive online orders, consumers could conveniently monitor the status of their orders. In this era of energy deficiency,...
This paper surveys virtualization of I/O devices, which is one of the most difficult parts in system virtualization. Current technologies of virtualizing I/O devices include full virtualization, paravirtualization, software emulation and VMM-bypass direct I/O. Optimizations are also done to improve the performance of each technology. Most optimizations used paravirtualization technology for reference...
The problem of environmental quality assessment is a pattern recognition problem, and a well-trained ANN can exploit the underlying nonlinear relationships that determine the environmental rating of a region. In this study, we are trying with the neural network model to make an effective analysis for environmental quality assessment. A 4-9-1 three-layer feedforward neural network using the backpropagation...
At present, power management in High-Performance Computing (HPC) environment is becoming a hot topic owning to its high operation cost, low reliability and environmental impact. In this paper, we investigate energy minimization scheduling algorithm of data dependent tasks in DVS-Enabled cluster system. Considering the data-intensive characteristics, the proposed EOTD (Energy Optimization scheduling...
A two-stage optimization strategy and its models for short-term hydropower dispatching optimization is developed to solve unit commitment and load distribution problem with unit commitment optimization sub-model and min water consumption sub-model. Moreover, improved ant algorithm with new selection mechanism and iteration mechanism are introduced for optimization. The proposed methods are employed...
In this paper, we propose a new type of solution method for the generalized complementarity problem over a polyhedral cone (GCP). The method ensures that the corrector step sizes have a uniformly positive bound from below. Under mild conditions, we prove its global convergence. Under the Lipschitz continuity and g- strong monotonicity of the underlying mapping, we give the global error bound for GCP,...
Stability intelligent optimization and control theory in machining is one of the key technologies to ensure high precision and efficiency. Based on the MDOF dynamic model of tool-workpiece milling regenerative chatter, the MDOF coupling effect to stability is analyzed. The average milling force methods and second order response surface methods to obtain time varying milling force coefficient is studied...
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