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检索条件"主题词=Optimization algorithm"

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ESTIMATION OF TREE HEIGHTS USING REMOTE SENSING DATA AND AN ALLOMETRIC SCALING AND RESOURCE LIMITATIONS (ASRL) MODEL

ESTIMATION OF TREE HEIGHTS USING REMOTE SENSING DATA AND AN ...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Xiliang Ni Yuli Shi Sungho Choi Chunxiang Cao Ranga B. Myneni State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University Institute of Remote Sensing Applications of Chinese Academy of Sciences Nanjing University of Information Science and Technology Department of Geography Boston University

ISBN: (纸本)9781467311601

In this study, we developed the Allometric Scaling and Resource Limitations (ASRL) model by using the best GLAS tree heights to optimize the ASRL. At first, we obtained the best metric of GLAS tree heights by comparing with LVIS tree heights in six sites. Then, the best metric GLAS tree heights were separately used to optimize ASRL model and test the accuracy of prediction heights from optimized ASRL model in sites scale and country scale. Validation result showed that predicted tree heights from optimized ASRL model had high accuracy.

关键词： Tree height LVIS GLAS ASRL Model optimization algorithm

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A Supercavitation Regime Analysis Method Based on Genetic algorithm

A Supercavitation Regime Analysis Method Based on Genetic Al...

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2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(ICIS2009)

作者： Jun Jiang and Zhong Liu Department of Automation Navy Engineering University 717 JieFang Road,430033,Wuhan,China Wenhua Liu and Weiping Zhou Institute of System Navy equipment Academy LiuLi Bridge,100073,Beijing,China

Genetic algorithm(GA) has a good robust and global optimization *** this paper,a supercavitation regime problem is transformed into an equivalent shape optimization problem by defining the objective function as a square error integral of pressure *** combining the commercial CFD soft ANSYS with GA,this problem has been solved *** show that genetic algorithm is feasible and effective used in supercavitation flow analysis,the method is good for the reduction of computational complexity and more *** the frame can be expanded to study the cavitator optimization in which the regime optimization can be as a sub-optimization.

关键词： genetic algorithm supercavitation cavity regime optimization algorithm

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Uncertain Resource-Constrained Planning and Control Model for Multi-Enterprises'Collaborative Project

Uncertain Resource-Constrained Planning and Control Model fo...

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2008 IEEE International Conference on Service Operations and Logistics, and Informatics(IEEE/SOLI’2008)(IEEE服务运作、物流与信息年会)

作者： Xiaofei Xu Hongguo Zhang Dechen Zhan School of Computer Science and TechnologyHarbin Institute of TechnologyHarbin China School of Computer Science and Technology Harbin Institute of Technology Harbin China

Cross-enterprise collaborative project management is a new production management pattern due to economic *** most important characteristic is that the resources used in project are *** uncertainty of resources leads to plan *** multi-enterprises' collaborative project plan should have robust adaptation and *** this paper,a new uncertain resourceconstrained planning and control model for multi-enterprises collaborative project is proposed,and its project scheduling optimization algorithm is developed as *** have been put into use in a multi-enterprises collaborative project management system,and worked successfully.

关键词： Uncertain resource-constraint Cross-enterprise collaborative project Planning and control model Project scheduling optimization algorithm

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Optimal Placement and Sizing of DER's with Load Models using BAT algorithm

Optimal Placement and Sizing of DER's with Load Models using...

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International Conference on Circuits, Power and Computing Technologies

作者： Chandrasekhar Yammani Sydulu Maheswarapu Sailaja Kumari Matam Electrical Engineering Department National Institute Of Technology Warangal India

ISBN: (纸本)9781467349215

This paper presents an algorithm for optimal placement and size of the Distributed energy resources (DERs) considering system loss minimization and voltage profile improvement as objective functions. DERs- are the energy resources which contain renewable energy resources such as wind, solar and fuel cell and some artificial models like micro turbines, gas turbines, diesel engines, sterling engines, and internal combustion reciprocating engines. Combinations of DER studies and for every combination, indices, active and reactive losses and voltage profiles are studied. To optimize the objective function, new optimization technique called Bat algorithm(BA) is proposed. The Bat algorithm is tested on 37-bus distribution system with different load models like residential, Industrial, Commercial and Mixed loads. For all cases current injection based distribution load flow method is used.

关键词： Distributed Energy Resource (DER) Load models Loss minimization optimization algorithm Bat algorithm

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RESEARCH OF PATTERN FEATURE EXTRACTION AND SELECTION

RESEARCH OF PATTERN FEATURE EXTRACTION AND SELECTION

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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： SHI-FEI DING WEI-KUAN JIA CHUN-YANG SU ZHONG-ZHI SHI School of Computer Science and Technology China University of Mining and Technology Xuzhou 221008 College of Plant Protection Shandong Agricultural University Taian 271018 China School of Computer Science and Technology China University of Mining and Technology Xuzhou 221008 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Aca

As an important link of pattern recognition, pattern feature extraction and selection has been paid close attention by lots of scholars, and currently become one of the research hot spot in the field of pattern recognition. Its main purpose is "Low Loss Dimensionality Reduction";it is generally divided into two parts, that is, linear pattern feature extraction and selection and nonlinear pattern feature extraction and selection. This article gives a general discussion of pattern feature extraction and selection, and introduces the frontier methods of this field, at last discusses the development tendency of pattern feature extraction and selection.

关键词： Pattern Feature Eztraction Information Theory Neural Network Independent Component Analysis Manifold Learning 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.

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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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