检索结果-内蒙古大学图书馆

5th International Conference on Intelligent Computing

作者： Naeem, Huma Masood, Asif Hussain, Mukhtar Khan, Shoab A. Natl Univ Sci & Tehcnol Dept Comp Sci Mil Coll Signals Rawalpindi Punjab Pakistan Natl Univ Sci & Technol Coll Elect & Mech Engn Dept Comp Sci Islamabad Pakistan

ISBN: (纸本)9783642040696

This paper presents a decision support based, dynamic approach to optimal threat evaluation and defensive resource scheduling. The algorithm provides flexibility and optimality by swapping between two objective functions, based on preferential and subtractive defense strategies, as and when required. Analysis part of this paper presents the strengths and weaknesses of the proposed algorithm over an alternative greedy algorithm as applied to different offline scenarios.

关键词： Automated Threat Evaluation (TE) and Weapon Assignment (WA) - (TEWA) optimization algorithm Decision Support System Artificial intelligence - Cybernetics application preferential/subtractive defense strategies DA based weapon allocation

来源：评论

学校读者我要写书评

暂无评论

A Supercavitation Regime Analysis Method Based on Genetic algorithm

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

引用

IEEE International Conference on Intelligent Computing and Intelligent Systems

作者： Jiang, Jun Liu, Zhong Liu, Wenhua Zhou, Weiping Navy Engn Univ Dept Automat 717 JieFang Rd Wuhan 430033 Peoples R China Navy equipment Acad Inst Syst Beijing 100073 Peoples R China

ISBN: (纸本)9781424447541

Genetic algorithm(GA) has a good robust and global optimization capability In 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 difference Through combining the commercial CFD soft ANSYS with GA, this problem has been solved efficiently Comparisons 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 digestible Meanwhile 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

来源：评论

学校读者我要写书评

暂无评论

An Efficient Method for Distribution System Restoration Based on Fuzzy Data Mining

An Efficient Method for Distribution System Restoration Base...

引用

IEEE Circuits and Systems International Conference on Testing and Diagnosis

作者： Yang Li-jun Lu Zhi-gang YanShan Univ Elect Engn Coll Qin Huangdao Peoples R China

ISBN: (纸本)9781424425860

This paper presents an efficient algorithm for distribution system restoration based on fuzzy data mining. The computation time can be decreased greatly by dividing the computation into two parts: one is the part of off-line calculation, in which by using the historical FTU measured records the selecting rules of optimal disconnection switches in all loops existed in distributed networks are calculated by fuzzy data mining. The other is the part of on-line calculation, in which just the tie switches are optimized by some optimization algorithms, and the corresponding optimal disconnection switches in each loop created by two or more closed tie switches can be estimated according to the selecting rules and the actual data measured by FTU. Simulation result indicates that the proposed method is of high calculation speed,it can guarantee the quality of solution at the same time.

关键词： distribution networks service restoration fuzzy data mining optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Model-driven visualizations of constraint-based local search

Model-driven visualizations of constraint-based local search

引用

13th International Conference on Principles and Practice of Constraint Programming (CP 2007)

作者： Dooms, Gregoire Van Hentenryck, Pascal Michel, Laurent Brown Univ Providence RI 02912 USA Univ Connecticut Storrs CT 06269 USA

ISBN: (纸本)3540749691

Visualization is often invaluable to understand the behavior of optimization algorithms, identify their bottlenecks or pathological behaviors, and suggest remedial techniques. Yet developing visualizations is often a tedious activity requiring significant time and expertise. This paper presents a framework for the visualization of constraint-based local search (CBLS) algorithms. Given a high-level model and a declarative visualization specification, the CBLS visualizer systematically produces animations to visualize constraints and objectives, violations, and conflicts, as well as the temporal behavior of these measures. The visualization specification is declarative and typically composed of a triple (what,where,how) indicating what to display, where, and with which graphical objects. The visualizer architecture is compositional and extensible. It provides building blocks which can be assembled freely by the user and focuses almost exclusively on static aspects, the dynamic aspects being automated by the use of invariants. The paper highlights various functionalities of the visualizer and describes a blueprint for its implementation.

关键词： Model-driven visualization Constraint-based local search optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Computational-Fluid-Dynamics-Based Kriging optimization Tool for Aeronautical Combustion Chambers

引用

AIAA JOURNAL 2009年第3期47卷 631-645页

作者： Duchaine, F. Morel, T. Gicquel, L. Y. M. CERFACS Computat Fluid Dynam Combust Team F-31057 Toulouse France CERFACS Global Change Team F-31057 Toulouse France

The current state of the art in computational fluid dynamics provides reasonable reacting-flow predictions and is already used in industry to evaluate new concepts of gas turbine engines. In parallel, optimization techniques have reached maturity and several industrial activities benefit from enhanced search algorithms. However, coupling a physical computational fluid dynamics model with an optimization algorithm to yield a decision-making tool needs to be undertaken with care to take advantage of the current computing power while satisfying the gas turbine industrial constraints. Among the many delicate issues for such tools to contribute efficiently to the gas turbine industry, combustion is probably the most challenging, and optimization algorithms are not easily applicable to such problems. In our study, a fully encapsulated algorithm addresses the issue by making use of a new multiobjective optimization strategy based on an iteratively enhanced metamodel (kriging) coupled to a design-of-experiments method and a fully parallel three-dimensional computational fluid dynamics solver to model turbulent reacting flows. With this approach, the computer cost needed for thousands of computational fluid dynamics computations is greatly reduced while ensuring an automatic error reduction of the approximated response function. Preliminary assessments of the search algorithm against simple analytical test functions prove the strategy to be efficient and robust. Application to a three-dimensional industrial aeronautical combustion chamber demonstrates the approach to be feasible with currently available computing power. One result of the optimization is that possible design changes can improve performance and durability of the studied engine. With the advent of massively parallel architectures, the intersection between these two advanced techniques seems a logical path to yield fully automated decision-making tools for the design of gas turbine engines.

关键词： CFD Gas Turbine Combustion Chamber Combustion Efficiency Turbulent Reacting Flow Substantial Computing Power Gas Turbine Engines Reynolds Averaged Navier Stokes Mass Flow Rate Radial Basis Function Network optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

optimization of Flapping Motion Parameters for Two Airfoils in a Biplane Configuration

引用

JOURNAL OF AIRCRAFT 2009年第2期46卷 583-592页

作者： Kaya, Mustafa Tuncer, Ismail H. Jones, Kevin D. Platzer, Max F. Middle E Tech Univ Dept Aerosp Engn TR-06531 Ankara Turkey USN Postgrad Sch Dept Mech & Astronaut Engn Monterey CA 93943 USA

Flapping motion parameters of airfoils in a biplane configuration are optimized for maximum thrust and/or propulsive efficiency. Unsteady, viscous flowfields over airfoils flapping in a combined plunge and pitch are computed with a parallel flow solver on moving and deforming overset grids. The amplitudes of the sinusoidal pitch and plunge motions and the phase shift between them are optimized for a range of flapping frequencies. A gradient-based optimization algorithm is implemented in a parallel computing environment. The deforming overset grids employed remove the restriction on the flapping motion of airfoils, and improve the optimization results obtained earlier. In the Strouhal number range 0.17 < Sr < 0.25, an airfoil in a biplane configuration produces more thrust than a single airfoil. Yet, at a higher Strouhal number, the airfoil in a biplane configuration produced less thrust at a significantly lower efficiency than a single flapping airfoil.

关键词： Biplane Flapping Airfoil Propulsive Efficiency Flapping Frequency Strouhal Number Separated Flows Parallel Computing Environment optimization algorithm Aerodynamic Performance Freestream Mach Number

来源：评论

学校读者我要写书评

暂无评论

Multi-Objective Design for Routing Wavelength Assignment in WDM Networks

Multi-Objective Design for Routing Wavelength Assignment in ...

引用

3rd International Conference on New Trends in Information and Service Science (NISS 2009)

作者： Leesutthipornchai, Pakorn Wattanapongsakorn, Naruemon Charnsripinyo, Chalermpol King Mongkuts Univ Technol Thonburi Dept Comp Engn 126 Pracha Utid Bangkok 10140 Thailand Natl Elect & Comp Technol Ctr Pathum Thani Thailand

ISBN: (纸本)9781424444168

In this paper, we consider a multi-objective network design problem with static routing wavelength assignment (RWA) in WDM networks. The design objective is to maximize the number of accepted communication requests (source-destination pairs) and to minimize the number of wavelength channel required subject to a limited number of wavelength channels available on each network link and at least 80% of all commodities must be accepted. We consider our Multi-Objective WDM network design problem in various cases. The network model is solved using a new and efficient approach called "Genetic algorithm for Routing and Minimum Degree First Wavelength Assignment (GA-MDF)". We compare our simulation results with those of the traditional approach that is Fixed-Alternate Routing and First-Fit Wavelength Assignment (FAR-FF). The result comparisons show that GA-MDF is superior both in terms of the amount of accepted commodity requests and CPU computation time.

关键词： RWA WDM optical network optimization algorithm Multi-Objective network design

来源：评论

学校读者我要写书评

暂无评论

An Improved Database Classification algorithm for Multi-database Mining

An Improved Database Classification Algorithm for Multi-data...

引用

3rd International Workshop on Frontiers in algorithmics

作者： Li, Hong Hu, XueGang Zhang, YanMing Hefei Univ Dept Comp Sci & Technol Hefei 230001 Peoples R China Hefei Univ Key Lab Network & Intelligent Infomat Proc Hefei Peoples R China Hefei Univ Technol Sch Comp & Informat Hefei 230001 Peoples R China

ISBN: (纸本)9783642022692

Database classification is a data preprocessing technique for multi-database mining. To reduce search costs in the data from all databases, we need to identify those databases which are most likely relevant to a data mining application. Based on the related research, the algorithm GreedyClass and BestClassification [7] are improved in order to optimize the time complexity of algorithm and to obtain the best classification from in given databases. Theoretical analysis and experimental results show the efficiency of the proposed algorithm.

关键词： Multi-database mining Database Classification optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Topological optimization of Compliant Adaptive Wing Structure

引用

AIAA JOURNAL 2009年第3期47卷 523-534页

作者： Santer, M. Pellegrino, S. Univ London Imperial Coll Sci Technol & Med Dept Aeronaut London SW7 2AZ England CALTECH Grad Aerosp Labs Pasadena CA 91125 USA

Load-path-based topology optimization is used to synthesize a compliant adaptive aircraft wing leading edge, which deforms in a prescribed way when subject to a single point internal actuation. The load-path-based optimization method requires the specification of a parent lattice. Increasing the complexity of this lattice means the number of parameters required for a complete representation of the structure in the topology optimization becomes prohibitive, although it is desirable to enable a full exploration of the design space. A new method based on graph theory and network analysis is proposed, which enables a substantial reduction in the required number of parameters to represent the parent lattice. The results from this load-path-based approach are compared with those obtained from the better-known density-based topology optimization method.

关键词： Aircraft Wings Topology optimization Finite Element Modeling optimization algorithm Aerodynamic Loads UAV Genetic algorithm Structural Element Finite Element Software Material Properties

来源：评论

学校读者我要写书评

暂无评论

Logistics center location based on Matlab optimization algorithm

引用

Chang'an Daxue Xuebao (Ziran Kexue Ban)/Journal of Chang'an University (Natural Science Edition) 2006年第3期26卷 76-79页

作者： Li, Wei-Jiang Guo, Xiao-Fen Zhang, Yi Gong, Yan-Cheng School of Automobile Chang'an University Xi'an 710064 China Department of Vehicle Management Bengbu Automobile Management College Bengbu 233011 China

This paper studied the algorithm of logistics center location problems with time restrictions by Matlab optimization function. A location model with time restrictions was developed, an exact algorithm based on the 'fmincon' function in Matlab optimization toolbox was put forward to solve the model, and an example was calculated to verify the model and algorithm. The results indicate that this algorithm is simple to be programmed and quick to be calculated, it not only can solve the location problems with time restrictions, but also can solve the traditional location problems without time restrictions. So the new algorithm is more effective than the gravity approach in solving the logistics center location problems.

关键词： Location model Logistics center optimization algorithm Time restrictions Traffic engineering

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：