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检索条件"主题词=Optimization Algorithm"

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Development of a Computational Approach/Model to Explore NMDA Receptors Functions

Development of a Computational Approach/Model to Explore NMD...

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作者： A. Florence Keller Jean-Marie C. Bouteiller Theodore W. Berger

Modern laboratory techniques allow studying NMDA receptors (NMDAR) either anatomically with specific antibodies coupled to sophisticated confocal microscopy, or physiologically by live imaging or electrophysiological techniques. However, NMDARs are not fixed in time and space and changes in their composition and/or distribution on the post-synaptic membrane may significantly impact the synaptic strength and overall function. The computational modeling approach therefore constitutes a complementary tool for investigating the properties of biological systems based on the knowledge provided by the lab experiments. Here, we describe a general computational method aiming at developing kinetic Markov-chain based models of NMDARs subtypes capable of reproducing various experimental results. These models are then used to make predictions on additional (non-obvious) properties and on their role in synaptic function under various physiological and pharmacological conditions. For the purpose of this book chapter, we will focus on the method used to develop a NMDAR model that includes pharmacological site of action of different compounds. Notably, this elementary model can subsequently be included in a neuron model (not described in detail here) to explore the impact of their differential distribution on synaptic functions. less

关键词： Confocal Microscopy Live Cell Imaging Data Mining Data analysis Programming Language Python Pharmacology Computational model Ordinary differential equation kinetic models NMDA receptors model Synaptic function optimization algorithm

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Flight Vehicle System Identification: A Time-Domain Methodology, Second Edition Second edition.

引用

丛书名： Progress in Astronautics and Aeronautics

2015年

作者： Ravindra V. Jategaonkar

ISBN: (数字)9781624102790

ISBN: (纸本)9781624102783

Flight Vehicle System Identification, Second Edition offers a systematic approach to flight vehicle system identification and covers exhaustively the time-domain methodology. Beginners, as well as practicing engineers, researchers, and working professionals who wish to refresh or broaden their knowledge of flight vehicle system identification, will find this book highly *** addresses in detail the theoretical and practical aspects of various parameter estimation methods, including those in the stochastic framework focusing on nonlinear models, cost function, optimization methods, and residual analysis. A pragmatic and balanced account of pros and cons in each case is provided. The book also presents data gathering and model validation, covering both large-scale and high-fidelity ***-world problems dealing with a variety of flight vehicle applications are addressed, and solutions are provided. Examples encompass such problems as estimation of aerodynamic stability and control derivatives from flight data, flight-path reconstruction, nonlinearities in control surface effectiveness, stall hysteresis, unstable aircraft, flexible aircraft model integrating rigid-body and structural dynamics, wake vortex encounters, and other critical *** on the author's years of experience, Flight Vehicle System Identification, Second Edition also provides recommendations for overcoming problems likely to be faced in developing complex nonlinear and high-fidelity models and can help the novice negotiate the challenges of developing highly accurate mathematical models and aerodynamic databases from experimental flight *** that runs under MATLAB and sample flight data are provided to assist the reader in reworking the examples presented in the text. The extended software is highly flexible to use and suitable for advanced applications; it can also be adapted to the reader's own *** second edition retains the same structure as the firs

关键词： Aerodynamic Performance Aerodynamics Aeronautical Engineering Aeronautics Aerospace Sciences Aircraft Components and Structure Aircraft Control Aircraft Design Aircraft Flight Control System Aircraft Maneuvers Aircraft Operations Aircraft Operations and Technology Aircraft Stability and Control Aircraft Systems Aircraft Wing Components Aircraft Wing Design Aircrafts Aircrew Airspeed algorithms and Data Structures Artificial Neural Network Atmospheric Science Aviation Aviation Safety Avionics Avionics Computers Avionics Software Civil Aviation Commercial Aviation Computational Fluid Dynamics Computer Programming and Language Computer Storage Devices Computing System Computing and Informatics Computing, Information, and Communication Data Analysis Data Analytics Data Science Finite Difference Method Fixed-Wing Aircraft Flight Control Surfaces Flight Recorder Flight Test Flight Training Fluid Dynamics Flying Qualities Guidance, Navigation, and Control Systems Helicopters Longitudinal Static Stability Military Aircraft Military Aviation Monte Carlo Method Numerical Analysis optimization algorithm Rotorcrafts Runge-Kutta Methods Short Takeoff and Landing Signal Processing Slip (Aerodynamics) Software Systems Stability Augmentation Systems Takeoff and Landing Turbulence Turbulence Models Unmanned Aerial Vehicle Vortex Dynamics Wind Tunnels Wing Configurations Wing Planforms

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Genetic algorithm for Energy Efficient & Coverage-Preserved Positioning in Wireless Sensor Networks

Genetic Algorithm for Energy Efficient & Coverage-Preserved ...

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2010 International Conference on Intelligent Computing and Cognitive Informatics (ICICCI 2010)

作者： Mojtaba Romoozi Mehdi Vahidipour Morteza Romoozi Sudeh Maghsoodi Member of Young Scholars Club Islamic Azad University KashanI.R.Iran Faculty of Engineering The University of Kashan KashanI.R.Iran Faculty of Engineering Islamic Azad University KashanI.R.Iran Student of Engineering Islamic Azad University KashanI.R.Iran

Layout is an important issue in designing sensor *** paper brings a new idea for the positioning of nodes in a wireless sensor *** sensors communicate with each other to transmit their data to a high energy communication node which acts as an interface between data processing unit and *** of sensor locations is essential to provide communication for a longer *** energy efficient layout with good coverage based on Genetic algorithm is proposed *** the process of optimization,sensors move to form a uniformly distributed *** two objectives taken into consideration are coverage and *** a set of network layouts are *** simulation results also exhibit improvement of performance with increase in number of generations in the algorithm.

关键词： Wireless sensor networks Coverage Energy consumption Clustering algorithm optimization algorithm

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A Multi-objective Shuffled Bat algorithm for Optimal Placement and Sizing of DGs with Load variations

A Multi-objective Shuffled Bat Algorithm for Optimal Placeme...

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IEEE Region 10 Conference

作者： Chandrasekhar Yammani National Institute of Technology Warangal

ISBN: (纸本)9781509025985

A new hybrid Multi-objective Shuffled Bat optimization algorithm is proposed in this paper for Distributed generations (DGs) optimal placement and sizing. Multiple objectives like system power losses, cost of DG and system voltage profiles are considered to evaluate the impact of DG placement and sizing for an optimal development of the distribution system with load variations. Furthermore, the study is demonstrated with different % loading such as 80,100 and 120% of base load condition. The proposed technique is tested in 33 bus distribution network, and compared against Non-dominated Sorting Genetic algorithm II (NSGA-II).

关键词： Distributed Generation Distribution system loading Power Loss minimization optimization algorithm Shuffled Bat algorithm

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Design and Implementation of Monitoring Early-warning System for Subway Construction

Design and Implementation of Monitoring Early-warning System...

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作者： ZHANG Yu LV Yunbing Mechanical and automation School Hu Bei University Zhixing college

In the current of informatization,the control and monitor of multiple unpredictable factors during subway construction are to turn intellectualized. By using information technology and optimization,a monitoring early-warning system with multiple functions can be built,which can analyze the technical scheme and monitoring data effectively. Meanwhile,the system can offer practical guidance scheme and safety guarantee for field construction.

关键词： Subway construction Monitoring Early warning system optimization algorithm

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Intelligent Resource Scheduling Method for Surface Observation of Satellites based on Segmented Coding

Intelligent Resource Scheduling Method for Surface Observati...

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第六届体系工程学术会议—体系工程与高质量发展

作者：俞棋睿尹明娄矫媛媛王笑潘晓刚 College of Science National University of Defense Technology College of Systems Engineering National University of Defense Technology

With the development of modern military strategy, satellite observation has become a key asset for obtaining global security and operational environment dynamics. This article proposes an intelligent scheduling method for ground observation of satellite based on segmented coding, aiming to optimize observation plans, improve the quality and efficiency of data collection. The article first analyzes the current research status of satellite observation duration allocation and points out the shortcomings of current research on ground observation task duration allocation. In response to this issue, this article establishes an observation duration allocation model, which maximizes the observation benefits of satellites in different orbits(high, medium, and low) by adjusting the observation duration decision variables of each satellite. The model introduces an encoding system to represent different observation time allocation schemes and establishes a relationship function between observation duration and benefit value. Furthermore, this article proposes an improved genetic algorithm based on allele replacement to solve the allocation problem of observation time. The experimental results show that the method tends to stabilize after 10000 iterations, and the total allocatable time resource utilization rate of the proposed scheduling scheme reaches 99.9999%, which is much higher than the benefit value of the uniform allocation scheme, proving the feasibility and effectiveness of the proposed method in this paper.

关键词： satellite observation Resource scheduling Observation duration allocation Genetic algorithm optimization algorithm

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Improved Model Predictive Control for Grid-connected Inverter

Improved Model Predictive Control for Grid-connected Inverte...

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第32届中国控制与决策会议

作者： Yong Chen Pengcheng Ma Jingjing Huang Lei Yang Xiangqian Tong School of Electrical Engineering Xi'an University of Technology CNPC Chuanqing Drilling Engineering Company Limited School of Electronic and Information Engineering Xi'an Jiaotong University

The traditional model predictive control（MPC） has the problems of heavy computational burden and low predictive *** improved MPC is therefore proposed in this paper via combining the idea of no-beat control to calculate the target reference voltage *** optimizing the voltage vector selection,not only the calculation times of the control algorithm are reduced,but also the load current harmonic content,the inverter switching frequency and the power loss are *** delay compensation is carried out to improve the accuracy of the model prediction,so as to improve the operation efficiency of the grid-connected ***,the improved MPC simulation model is established in MATLAB/SIMULINK and the improved MPC is compared with the traditional MPC to verify its effectiveness in the experimental prototype.

关键词： MPC time delay compensation optimization algorithm

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Pressure Vessel Design Simulation Using Hybrid Harmony Search algorithm 19

Pressure Vessel Design Simulation Using Hybrid Harmony Searc...

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Proceedings of the 3rd International Conference on Big Data Research

作者： Alaa A. Alomoush Mohammed I. Younis Khalid S. Aloufi AbdulRahman A. Alsewari Kamal Z. Zamli College of Computing and Applied Sciences Univiersiti Malaysia Pahang Pahang Malaysia Department of Computer Engineering College of Engineering University of Baghdad Iraq College of Computer Science and Engineering Taibah University Medina Saudi Arabia IBM Centre of Excellence College of Computing and Applied Sciences Univiersiti Malaysia Pahang Pahang Malaysia

ISBN: (纸本)9781450372015

Recently the development of optimization algorithm is rapidly increased. Among several optimization algorithms, Harmony Search (HS) has been recently proposed for solving engineering optimization problems. The HS has some weaknesses such as parameters selection and falling in local optima. Many variants proposed to solve these problems. This paper presents successful hybrid algorithms with high performance to solve the pressure vessel design simulation. The hybrid algorithms consist of well-known variants of HS and an opposition-based learning technique. The hybrid algorithm improved the HS exploration and avoiding falling in local optima, which lead the algorithm to provide significant results.

关键词： Computational Intelligence Pressure Vessel Design hybrid algorithm opposition-based learning Harmony Search algorithm optimization algorithm

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Identification of functional information subgraphs in cultured neural networks

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BMC NEUROSCIENCE 2009年第1期10卷 1-1页

作者： Gintautas, Vadas Bettencourt, Luis M. A. Ham, Michael I. Los Alamos Natl Lab Ctr Nonlinear Studies & T5 Los Alamos NM 87545 USA Santa Fe Inst Santa Fe NM 87501 USA Univ N Texas Ctr Network Neurosci Denton TX 76203 USA

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Effective optimization Technique for Power System Stabilization using Artificial Bee Colony

Effective Optimization Technique for Power System Stabilizat...

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International Conference on Computer Communication and Informatics

作者： V. Ravi K. Duraiswamy Dept. of EEE K.S.R College of Technology Dept. of CSE K.S.R College of Technology

ISBN: (纸本)9781457715808;9781457715839

The power system stabilizer can suppress the electromechanical oscillation and enhance the power system stability with the aid of its additional excitation control. The need for power system stabilizations has been increasing day by day. The demand for electric power requirement has motivated the usage of power system in an effective and reliable way. The stability of the power system is the ability to extend restoring forces equal to or greater than the disturbing forces to sustain the state of equilibrium. Power industries are restructured to provide effective utilization to more users at lower prices and better power efficiency. The complexity of the Power systems has been increasing as they become inter-connected. Load demand also increases linearly with the increase in users. Since stability phenomena limits the transfer capability of the system, there is a need to ensure stability and reliability of the power system due to economic reasons. With these conditions, experts and researchers were continually tasked to find simple, effective and economical strategy of attaining stabilization of the power system, which is considered of highest priority. Thus, because of the importance of the stability of the power systems, stabilizing control techniques have been used for the multi-machine power system with the help of intelligent methods. The optimal sequential design for multi-machine power systems is very essential. As a result, serious consideration is now being given on the concern of power system stabilization control. In recent times, the utilization of optimization techniques becomes possible to deal with control signals in power system. This paper uses the Artificial Bee Colony algorithm for better stability of the power system. Simulation results suggest that the proposed technique is better for power system stabilization when compared to the conventional techniques.

关键词： Power System Stabilization optimization algorithm Artificial Bee Colony

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