We have used the teaching-learning-based optimization (TLBO) algorithm to design the plasmonic nano rods in order to achieve the maximum absorption coefficient spectrum. In TLBO, a group of learners controls the nano-...
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We have used the teaching-learning-based optimization (TLBO) algorithm to design the plasmonic nano rods in order to achieve the maximum absorption coefficient spectrum. In TLBO, a group of learners controls the nano-rod radius, the nano-rods distance, and the number of nano-rods in two dimensions. This approach is useful in optical applications such as solar cell and plasmonic nano antenna. (C) 2015 Elsevier GmbH. All rights reserved.
The modern intelligent optimization/search algorithms were broadly classified,and some brief analysis and comment were *** we revealed some optimization rules implied in the benchmarking philosophy,which provided good...
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The modern intelligent optimization/search algorithms were broadly classified,and some brief analysis and comment were *** we revealed some optimization rules implied in the benchmarking philosophy,which provided good inspirations for designing of modern intelligent optimization/search algorithms.
In recent years, combining spatial and timely remote sensing data and crop growth model is an important way to improve accuracy of crop growth simulation and crop growth monitoring. In this paper, global optimization ...
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ISBN:
(纸本)9781457710056
In recent years, combining spatial and timely remote sensing data and crop growth model is an important way to improve accuracy of crop growth simulation and crop growth monitoring. In this paper, global optimization algorithm SCE-UA (Shuffled Complex Evolution method - University of Arizona) was used to integrate remotely sensed leaf area index (LAI) with EPIC crop growth model to simulate regional winter wheat yield and other field management information such as sowing date, plant density and net nitrogen fertilizer application rate in Huanghuaihai Plain in China. Final results showed that average relative error of estimated winter wheat yield was 1.81% and RMSE was 0.208 t/ha. Compared with the actual observation data, average relative error of simulated plant density and net nitrogen fertilization application rate was -7.95% and -8.88% respectively and absolute error of simulated sowing date was only 1 day. These above accuracy of simulated results could meet requirements of crop monitoring at regional scale. It was proved that integrating remotely sensed LAI with EPIC model based on SCE-UA for simulation of crop growth condition and crop yield was feasible.
In this paper, a hybrid artificially glowworm swarm optimization algorithm to solve multidimensional 0-1 knapsack problem is proposed. The algorithm utilizes two important strategies, how to select the item based on i...
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In this paper, a hybrid artificially glowworm swarm optimization algorithm to solve multidimensional 0-1 knapsack problem is proposed. The algorithm utilizes two important strategies, how to select the item based on its unit volume value and the binary glowworm swarm optimization algorithm, 37 multidimensional 0-1 knapsack test instances are tested by the produced algorithm, The integrated performance of the produced algorithm is rather satisfied, and the hybrid glowworm swarm optimization algorithm is rather efficient for solving multidimensional 0-1 knapsack problem. (c) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]
A new structure of hydraulic hybrid vehicle (HHV) with hydraulic transformer (HT) was built and the working principle of the new hydraulic hybrid vehicle was described. According to the operating characteristics of HT...
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ISBN:
(纸本)9783037850398
A new structure of hydraulic hybrid vehicle (HHV) with hydraulic transformer (HT) was built and the working principle of the new hydraulic hybrid vehicle was described. According to the operating characteristics of HT and energy-saving optimization conditions of accumulator used the HHV;Energy-saving optimization control algorithm with various operation conditions in different working conditions of vehicle was established. Then, simulation analysis to control performance of energy-saving algorithm was carried out using PID, Fuzzy Logic Controller (FLC) and Fuzzy-PID control strategy. Results show that Fuzzy-PID controller has a small influence on the parameters of energy-saving optimization algorithm of the hydraulic hybrid vehicle and maximizing energy recovery can be achieved in different energy states by Fuzzy-PID controller.
Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles' diversities and avoid the premature convergen...
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ISBN:
(纸本)9783037851371
Based on the problem of traditional particle swarm optimization (PSO) easily trapping into local optima, quantum theory is introduced into PSO to strengthen particles' diversities and avoid the premature convergence effectively. Experimental results show that this method proposed by this paper has stronger optimal ability and better global searching capability than PSO.
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.
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