The proceedings contain 97 papers. The topics discussed include: object-oriented simulation: a modeling and programming perspective;making mathematical reasoning fun: tool-assisted, collaborative techniques;metaheuris...
ISBN:
(纸本)9781450306867
The proceedings contain 97 papers. The topics discussed include: object-oriented simulation: a modeling and programming perspective;making mathematical reasoning fun: tool-assisted, collaborative techniques;metaheuristic optimization with applications to computational vision for humanoid robots;game development with game maker, flash and unity;targeting FPGA-based processors for an implementation-driven compiler construction course;engaging non-majors in computer literacy courses;computational thinking: modeling applied to the teaching and learning of English;using the color image quantization problem as a course-long project in CS;EVMAT: an OVAL and NVD based enterprise vulnerability modeling and assessment tool;anomaly intrusion detection based upon an artificial immunology model;a platform-independent tool for modeling parallel programs;and a novel approach for automated music composition using memetic algorithms.
A simulation-drivenoptimization framework for computationally efficient design of ultrawideband (UWB) antennas is presented. Our approach exploits coarsely-discretized electromagnetic (EM) simulations as a low-fideli...
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In this paper, multibody system dynamics simulation for manipulators and legged robots with high joint elasticities, particularly with focus on collision modeling, is addressed. We present the architecture of a newly ...
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Irrigation scheduling is an important issue for crop management, in a general context of limited water resources and increasing concern about agricultural productivity. Methods to optimize crop irrigation should take ...
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ISBN:
(纸本)9780889868939
Irrigation scheduling is an important issue for crop management, in a general context of limited water resources and increasing concern about agricultural productivity. Methods to optimize crop irrigation should take into account the impact of water stress on plant growth and the water balance in the plant-soil-atmosphere system. In this article, we propose a methodology to solve the irrigation scheduling problem. For this purpose, a plant-soil interaction model is used to simulate the structural-functional plant growth conditioned by water status. The system dynamics is driven by a delay differential system. By considering a price for the crop yield and for the water resource, an optimal control problem can be formulated in order to find the optimal irrigation strategy. The solution is obtained by dynamic programming. In order to handle the delay term of the system due to the continuous mechanism of plant senescence and the curse of dimensionality, the iterative approach of dynamic programming is used.
Computational Fluid Dynamics is nowadays largely employed as an effective optimization tool in the automotive industry, especially for what concerns aerodynamic design driven by critical factors such as the engine coo...
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Computational Fluid Dynamics is nowadays largely employed as an effective optimization tool in the automotive industry, especially for what concerns aerodynamic design driven by critical factors such as the engine cooling system optimization and the reduction of drag forces, both limited by continuously changing stylistic constraints. The Ahmed reference model is a generic car-type bluff body with a slant back, which is frequently used as a benchmark test case by industrial as well as academic researchers, in order to investigate the performances of different turbulence modeling approaches. In spite of its relatively simple geometry, the Ahmed model possesses many of the typical aerodynamic features of a modern passenger car - a bluff body with separated boundary layers, recirculating flows and complex three-dimensional wake structures. Several experimental works have pointed out that the flow region which presents the major contribution to the overall aerodynamic drag is the wake flow behind the vehicle model: therefore, a more exact simulation of the wake and separation process seems to be essential for the accuracy of numerical drag predictions. As a consequence, a significant effort has been put in many computational studies carried out on the Ahmed model in the last two decades, in order to fix benefits and deficiencies of various turbulence modeling practices, from the steady-state RANS approach to the fully unsteady LES approach. Though now there are some generally accepted remarks, such as the difficulties encountered by some classical steady-state RANS models in giving accurate results for some critical flow regimes, it is authors' opinion that there are still some issues that need to be addressed, particularly for what concerns the differences and the possible improvements related to the passage from steady to unsteady approaches. In this paper a numerical investigation of turbulent flow around the Ahmed model, performed with the open-source CFD toolbox Op
Web services cannot be always available as they are typically deployed in a dynamic environment. As an effective approach to improving Web services availability, replication has received much attention recently. How t...
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ISBN:
(纸本)9783642244339
Web services cannot be always available as they are typically deployed in a dynamic environment. As an effective approach to improving Web services availability, replication has received much attention recently. How to design an optimal replication scheme with the best QoS, however, remains an open problem due to its inherent computational hardness. In this paper, we propose an efficient approach to designing a near-optimal replication scheme. We adopt directed acyclic graph (DAG) as the modeling tool for replication scheme and then utilize DAG coding for performance optimization. simulation results show our approach can generate a near-optimal replication scheme with acceptable computation overheads.
The proceedings contain 17 papers. The topics discussed include: delta modeling for software architectures;towards optimization of design decisions for embedded systems by exploiting dependency relationships;electric/...
The proceedings contain 17 papers. The topics discussed include: delta modeling for software architectures;towards optimization of design decisions for embedded systems by exploiting dependency relationships;electric/electronic architecture model driven FlexRay configuration;comparing continuous behavior in model-based development of embedded software;using guided simulation to assess driver assistance systems;FALTER in the loop: testing UAV software in virtual environments;quantitative analysis of UML models;diagnosis in rail automation: a case study on mega models in practice;ontology-based consideration of electric/electronic architectures of vehicles;fighting the modeling bottleneck learning models for production plants;and concatenating sequence-based requirements in model-based testing with state machines.
simulation-drivenoptimization (SDO) problems (also referred to as "optimal control" or "4D optimization") are optimization problems with a simulation constraint. In the past decade, SDO techniques...
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simulation-drivenoptimization (SDO) problems (also referred to as "optimal control" or "4D optimization") are optimization problems with a simulation constraint. In the past decade, SDO techniques have been established as a promising tool for aviation analysis. Given a parameter-dependent simulation model, SDO techniques can automatically determine the optimal parameters that yield the desired simulation behavior. SDO techniques have been applied to aviation problems such as flight trajectory optimization, air traffic flow design and safety analysis of auto-land systems. The algorithmic solution of an SDO problem requires communication between simulation code (e.g., the numerical solution of the equations of motion) and optimization code (e.g., the Newton method). Typically, multiple simulations must be performed to form the numerical derivative of the cost function we seek to minimize or maximize, which must then be passed to some optimization software. This paper introduces the "Time-Stepping for optimization" software framework or TSOpt to aid solution of SDO problems. TSOpt orchestrates communication and data exchange between the optimization code and the simulation code. TSOpt also offers support for implementation variants of the adjoint state method, a numerically efficient way to form derivatives for SDO problems. Further, TSOpt is equipped with tests that help ensure the correct numerical solution of SDO problems. Besides a concrete C++ software package, TSOpt framework offers a software paradigm that can be used to solve SDO problems on any platform, and in any language. I demonstrate this claim by solving a exploring the effect of low-fidelity wind data for a trajectory-based optimization problem in MATLAB.
The combustion process for using municipal solid waste (MSW) as a fuel within a waste-to-energy plant calls for a detailed understanding of the following phenomena. Firstly, this process depends on many input paramete...
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ISBN:
(纸本)9780791854556
The combustion process for using municipal solid waste (MSW) as a fuel within a waste-to-energy plant calls for a detailed understanding of the following phenomena. Firstly, this process depends on many input parameters such as MSW proximate and ultimate analysis, the season of the year, primary and secondary air-inlet velocity and, secondly, on output parameters such as the temperatures or mass-flow rates (MFR) of the combustible products. The variability and mutual dependence of these parameters can be difficult to manage in practice. Moreover, another problem is how these parameters can be tuned to achieving optimal combustion with minimal pollutant emissions during the initial plant-design phase. In order to meet these goals, a waste-to-energy plant with bed-combustion was investigated by using a computational fluid dynamics (CFD) approach with ANSYS CFX 12.0 code within a WORKBENCH 2 environment. In this paper, the adequate variable input boundary conditions based on the real measurement and practical calculations of known MSW composition compared with other authors are used and the whole computational work is updated using real plant geometry and the appropriate turbulence, combustion and heat transfer models. Furthermore, the operating parameters were optimized on output parameters through a trade-off study. The different operating conditions were varied and the fluid flow direction, residence time, temperature field, velocity-field, nitric oxide formation and combustion products through the plant's combustion chamber and preheat intersection in 3D were predicted and visualized. optimization in real-time has showed the amounts for each input parameter when meeting the optimal operating conditions. Finally, the response charts between the input and output parameters are presented in order to monitor the dependence among these parameters. Further simulations have to be done to include the geometry dimensions as input parameters when applying the CDF simulation
This paper presents the design of optimal TSK-fuzzy PI controller for the rotor side converter (RSC) of a doubly fed induction generator (DFIG) in a grid connected wind generation system. The optimization strategy is ...
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ISBN:
(纸本)9789898425782
This paper presents the design of optimal TSK-fuzzy PI controller for the rotor side converter (RSC) of a doubly fed induction generator (DFIG) in a grid connected wind generation system. The optimization strategy is based on binary genetic algorithms. The controller is used to regulate the active and reactive power and hence extract maximum energy from the system under varying wind speeds. Pitch angle control is used to regulate the rotor angular speed while the active and reactive power are controlled by the rotor voltage supplied by the RSC. The stator flux oriented reference frame is adopted. A fuzzy-PI controller with a minimum rule base of nine rules is realized. The controller is implemented in C code as a dynamic linked library and simulated using LabVIEW. simulation results are presented.
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