A new method for solving numerical integration based on artificial glowworm swarm optimization algorithm is presented. The method can not only compute usual definite integral for any functions, but also compute singul...
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ISBN:
(纸本)9783642181283
A new method for solving numerical integration based on artificial glowworm swarm optimization algorithm is presented. The method can not only compute usual definite integral for any functions, but also compute singular integral and oscillatory integral. The simulation results show that the proposed algorithm for solving numerical integration has higher precision.
In this paper, an artificial glowworm swarm optimization algorithm for solving 0-1 knapsack problem is proposed, and the detailed realization of the algorithm is illustrated. According to intelligent algorithm for kna...
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ISBN:
(纸本)9780878492237
In this paper, an artificial glowworm swarm optimization algorithm for solving 0-1 knapsack problem is proposed, and the detailed realization of the algorithm is illustrated. According to intelligent algorithm for knapsack problem, the question of sensitive parameter's choice is avoided under the greed idea. Simulation results show that the artificial glowworm swarm optimization algorithm for solving 0-1 knapsack problems is feasible and effective.
The design of dynamic torsional vibration dampers of piston internal combustion engines is generally based on the principle of a dynamic damper with one degree of freedom in which the coupling of the seismic mass of t...
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The design of dynamic torsional vibration dampers of piston internal combustion engines is generally based on the principle of a dynamic damper with one degree of freedom in which the coupling of the seismic mass of the damper to the basic dynamic system is realized by a two-parameter parallel rheological model. With known realizations of this principle, it is usually difficult to achieve the optimum value of the respective damper parameters determined from the computational models, which is particularly true for optimal damping values. A dynamic torsional damper, based on the series arrangement principle of the elastic and damping element, offers better design options to achieve the optimum parameters of both the elastic and damping elements.
In this paper, a new guidance law, which is called virtual sliding target (VST) guidance law, is designed based on the concept of the virtual target (VT). The presented law is applicable for short- and medium-range mi...
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In this paper, a new guidance law, which is called virtual sliding target (VST) guidance law, is designed based on the concept of the virtual target (VT). The presented law is applicable for short- and medium-range missiles. It is shown that by using proportional navigation (PN) and considering the aerodynamic characteristics of the missiles, this law leads to a better performance than the PN law. In this approach, motion of the VT is started from a position higher than the real target. By controlling the speed of VT, which slides toward a predicted intercept point (PIP), speed, position, and trajectory of the missile can be controlled. Since arrival times of the missile to the VT and the VT to the real target are equal, the collision will happen. Furthermore, a new optimal guidance law is presented for long-range missiles based on the concept of the waypoint (WP) and VT. In the mentioned law, there are two important points. The first one is a constant point that is called a waypoint and the second one is called a virtual target, which slides toward the PIP. Then a teaching-learning-based optimization (TLBO) algorithm is used to find the optimal initial position of the WP and the VT to maximize the intercept speed. Simulation results illustrate better performance of the VST law over the PN law in terms of the intercept speed. (C) 2016 American Society of Civil Engineers.
A microgrid (MG) is a discrete energy system that can operate either in parallel with or independently from a main power grid. It is designed to enhance reliability, carbon emission reduction, diversification of energ...
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A microgrid (MG) is a discrete energy system that can operate either in parallel with or independently from a main power grid. It is designed to enhance reliability, carbon emission reduction, diversification of energy sources, and cost reduction. When a power fault occurs in a grid, an MG operates in an islanded manner from the grid and protects its power generations and loads from disturbance by means of intelligent load shedding. A load shedding is a control procedure that results in autonomous decrease of the power demands of loads in an MG. In this study, we propose a load shedding algorithm for the optimization problem to maximize the satisfaction of system components. The proposed algorithm preferentially assigns the power to the subdemand with a high preference to maximize the satisfaction of power consumers. In addition, the algorithm assigns the power to maximize the power sale and minimize the power surplus for satisfaction of power suppliers. To verify the performance of our algorithm, we implement a multi-agent system (MAS) on top of a conventional development framework and assess the algorithm's adaptability, satisfaction metric, and running time.
Recently, the controller using wide-area measurement systems (WAMS) signals has been proposed by researchers. But, an unavoidable delay before the wide-area signals exists which is received by the controller. Accordin...
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Recently, the controller using wide-area measurement systems (WAMS) signals has been proposed by researchers. But, an unavoidable delay before the wide-area signals exists which is received by the controller. Accordingly, a delay-independent robust control problem of large interconnected power systems is presented based on the hybrid fuzzy controller for wide area measurement. A fuzzy controller is a nonlinear controller and it is not so sensitive to system topology, parameter and operating condition changes as the conventional ones. According to wide area power system complexity and variation of the loads and network conditions, FPSS has been considered in this paper. Furthermore, the proposed controller has been improved by chaotic version of shark smell optimization algorithm (CSSO) as an optimization problem. Effectiveness of the proposed method has been applied over the 10 machine 39 bus New England power system. Finally, the effectiveness of the proposed controller design methodology is demonstrated through simulation example. Obtained results demonstrate the superiority of the proposed strategy.
In this paper A model and the Genetic algorithm for intelligent schedule of public traffic vehicles is researched according to the characteristics of the public transportation vehicles' scheduling, It adopts the t...
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In this paper A model and the Genetic algorithm for intelligent schedule of public traffic vehicles is researched according to the characteristics of the public transportation vehicles' scheduling, It adopts the true value of the coding method using the start time as the variable and uses the penalty function method to add a variety of constraints to the objective function when constructing the fitness function, which simplified the calculation. Finally, the simulation results are obtained by using the improved Genetic algorithm for solving the non-uniform grid schedule, and a case study is carried out to verify the validity, objectivity and applicability of this model through calculated and analyzed practical data. Results show that the improved Genetic algorithm can find the approximate best result in the huge search space of optimization.
A new laser beam phase-locking method based on phase-intensity mapping associated with an iterative optimization algorithm is experimentally demonstrated. A numerical analysis shows its capability to combine efficient...
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ISBN:
(纸本)9781943580118
A new laser beam phase-locking method based on phase-intensity mapping associated with an iterative optimization algorithm is experimentally demonstrated. A numerical analysis shows its capability to combine efficiently large arrays of laser beams.
Accurate CT images are expected to be obtained from low-dose/limited projection data. In this work, an ℓ 0 sparse regularization based optimization model was investigated for few-view CT. With the aim to effectively s...
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Accurate CT images are expected to be obtained from low-dose/limited projection data. In this work, an ℓ 0 sparse regularization based optimization model was investigated for few-view CT. With the aim to effectively solve the optimization model, original optimization problem was transformed following the framework of iterative reconstruction based on alternating direction (ADM) method. Experiments are demonstrated to validate the efficiency of the proposed algorithm.
The objective of this paper is to demonstrate the opportunities of topology optimization applied to additive technology which will permit to design ultra-light structures practically without regard to the technologica...
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The objective of this paper is to demonstrate the opportunities of topology optimization applied to additive technology which will permit to design ultra-light structures practically without regard to the technological limits. The article gives a brief historical overview of the mutual influence of structures, materials and manufacturing technologies. The additive technology seems to have the broadest opportunities for producing existing structures using conventional materials without design changes. A hypothetical variable density material provides the means to solve an auxiliary problem of optimal material distribution considering stress or stiffness constraints. The special optimization algorithm allows the optimal topology layout to be found which will have a minimum value of the integral characteristic, called “load-carrying factor” (LCF). The LCF is a powerful tool for estimating the perfection limit of any structural and technological solution. Along with the optimal structure, such solutions are difficult for manufacturing using conventional materials and technologies. A creation of real material with the characteristics of hypothetical material is considered as one of the nearest areas of additive technology's development for finding optimal structures.
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