An approach for generating test problems by a computer using the Monte Carlo method based upon user-given characterizations is described.A single point X~* is prespocified by the user to be a solution of the test *** ...
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An approach for generating test problems by a computer using the Monte Carlo method based upon user-given characterizations is described.A single point X~* is prespocified by the user to be a solution of the test *** approach is flex- ible enough to specify function values,gradients,Hesse,degeneracy degree and ill- conditioned degree at the point X~*.Other numerical features such as indefiniteness, convexity are also under user's control.
This paper presents optimization problem formulations to design meander-line antennas for passive radio frequency identification tags based on given specifications of input impedance, frequency range and geometric con...
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ISBN:
(纸本)9781424470594
This paper presents optimization problem formulations to design meander-line antennas for passive radio frequency identification tags based on given specifications of input impedance, frequency range and geometric constraints. In this application, there is a need for directive transponders to select properly the target tag, which must be ideally isotropic. The design of an effective meander-line antenna for RFID purposes requires balancing geometrical characteristics with the microchip impedance. Therefore, there is an issue of optimization in determining the antenna parameters for best performance. The antenna is analysed by a method of moments. Some results using a deterministic optimization algorithm are shown.
We address the question of optimal proactive service and demand shaping for content distribution in data networks through smart pricing. We develop a proactive download scheme that utilizes the probabilistic predictab...
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ISBN:
(纸本)9781467359443
We address the question of optimal proactive service and demand shaping for content distribution in data networks through smart pricing. We develop a proactive download scheme that utilizes the probabilistic predictability of the human demand by proactively serving potential users' future requests during the off-peak times. Thus, it smooths-out the network traffic and minimizes the time average cost of service. Moreover, we incorporate the varying economic responsiveness and demand flexibilities of users into our model to develop a demand shaping mechanism that further improves the gains of proactive downloads. To that end, we propose a model that captures the uncertainty about the users' demand as well as their responsiveness to the pricing employed by the service providers. We propose a joint proactive resource allocation and demand shaping scheme based on non-convex optimization algorithms, and show that it always leads to strictly better performance over its proactive counterpart without demand shaping.
This paper aims to present a control scheme based upon Particle Swarm optimization (PSO) algorithm in order to compensate the key power-quality disturbances, particularly voltage sags and harmonic voltages, using a Dy...
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ISBN:
(纸本)9781629931333
This paper aims to present a control scheme based upon Particle Swarm optimization (PSO) algorithm in order to compensate the key power-quality disturbances, particularly voltage sags and harmonic voltages, using a Dynamic Voltage Restorer (DVR). According to the aforesaid method, DVR's PI controller structure is regulated via multi-objective PSO algorithm. We introduce the method for distribution systems to modify both SAG and THD as major power quality indices in sensitive loads at fault conditions. Therefore, we apply the multi-objective optimization algorithm in order to attain a better performance in solving the related problems.
The graph coloring problem (GCP) is a classic combinatorial optimization problem that has been widely applied in various fields such as mathematics, computer science, and biological science. Due to the NP hard nature ...
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One method of storing electrical energy in distribution networks is network reconfiguration. Reconfiguration in power systems can change the network topology and power flow with use of switches that can be closed and ...
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ISBN:
(纸本)9781629931333
One method of storing electrical energy in distribution networks is network reconfiguration. Reconfiguration in power systems can change the network topology and power flow with use of switches that can be closed and open. The main objective of the reconfiguration of distribution networks is reducing power losses and avoid network from overload. Reconfiguration is numerical optimization. Changes between open and close mode of switches should be done in such a way that the radial configuration remains radial. This study proposes a new optimization algorithm to solve the reconfiguration problem based on hybrid of particle swarm and Nelder-Mid (NM) optimization algorithms which is called PSO-NM. Simulation results on real network indicate that this new hybrid algorithm is more efficient and faster in comparsion with genetic algorithm.
This paper proposes a methodology for optimal power management in a house with photovoltaic cells and battery storage. The proposed method exploits the day-ahead electricity market to enhance the profit of a household...
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ISBN:
(纸本)9781467359313
This paper proposes a methodology for optimal power management in a house with photovoltaic cells and battery storage. The proposed method exploits the day-ahead electricity market to enhance the profit of a household. An hourly-discretized optimization algorithm is proposed to identify the optimum daily operational strategy to be followed by the photovoltaic system, provided that a forecast for solar-power and load is available. This model is suitable to be applied in the real time operation of a typical house. The proposed strategy maximizes the individual revenue without shifting power demand. We explored the proposed algorithm with and without feed-in tariff. The results show that a typical house can save about 300 /year when app lying optimized power management.
A printed UWB Vivaldi antenna is presented in this paper. Its geometry is based on a novel spline shape and optimised by an efficient global optimisation algorithm. A U-shaped slot is introduced into the geometry to n...
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ISBN:
(纸本)9781424420414
A printed UWB Vivaldi antenna is presented in this paper. Its geometry is based on a novel spline shape and optimised by an efficient global optimisation algorithm. A U-shaped slot is introduced into the geometry to notch out the 5.1 GHz to 5.8 GHz WLAN band. This can be used to mitigate interference between WLAN and UWB systems.
A novel optimization algorithm is presented to improve the design of optimal controllers for load frequency control problem. This algorithm is applied for two area LFC system with using an output feedback controller. ...
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ISBN:
(纸本)9781467324199
A novel optimization algorithm is presented to improve the design of optimal controllers for load frequency control problem. This algorithm is applied for two area LFC system with using an output feedback controller. In the practical power system, access to some of the state variables in LFC system is limited and measuring is also impossible. So an optimal output feedback controller with a practical viewpoint is proposed. The optimal control law is determined by minimizing a performance index under the output feedback conditions leading to a coupled matrix equation. In order to solve these equations traditional methods may be used. But for more accuracy and better design for this controller, ICA algorithm is applied to find the global optimal gain matrix of the controller. Simulation results of ICA are compared with the conventional design. Comparison shows the success of ICA for design of optimal controller.
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