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IEEE Energy Conversion Congress and Exposition (ECCE)

作者： Jiang, Wenying Jahns, T. M. Lipo, T. A. Taylor, William Suzuki, Yusaku Univ Wisconsin Dept Elect & Comp Engn 1415 Johnson Dr Madison WI 53706 USA Univ Wisconsin Dept Comp Sci Madison WI 53706 USA JSOL Corp Middleton WI 53562 USA

ISBN: (纸本)9781467308014

Although finite element (FE) analysis is a powerful analytical tool for electric machines, it is rarely used in iterative machine design optimization programs since it is computationally intensive, requiring excessive calculation times. This paper describes an approach for overcoming this obstacle using a high-throughput computing (HTC) environment that harnesses the parallel processing capabilities of large numbers of computers to evaluate many candidate designs simultaneously. Differential evolution has been selected as the optimization algorithm that applies FE analysis to maximize the electromagnetic performance according to an objective function in a computationally-efficient manner. This software has been applied using available HTC resources to optimize the design of a 30 kW (continuous) fractional-slot concentrated winding (FSCW) surface permanent magnet (SPM) machine for high torque density. Tests comparing the computational speeds achieved using the same optimization software with the HTC resources and a single computer have demonstrated a major reduction (approx. 30:1) of the computation time using the HTC approach.

关键词： Thermal Conductivity Equipment Design mechanical engineering Finite element method optimization algorithms computational time electromagnetic properties Environments electric machines Computers PARALLEL PROCESSING (COMPUTERS) Objective function Large Numbers

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FAST optimization OF MICROWAVE ABSORBERS

FAST OPTIMIZATION OF MICROWAVE ABSORBERS

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14th International Conference on Mathematical Methods in Electromagnetic Theory (MMET)

作者： Kubytskyi, Viacheslav Sapoval, Bernard Dun, Gwenael Rosnarho, Jean-Francois Ecole Polytech Phys Mat Condensee Lab F-91128 Palaiseau France SIEPEL SAS F-56470 Trinite France

ISBN: (纸本)9781467344784;9781467344791

We address the question of the optimization of the performance of microwave absorbers. Our approach first use an optimization algorithm applied to an 1D homogenized equivalent structure. The optimization yields a refractive index profile which is then used to build a 3D curved pyramidal structure. The validity of this approach is then verified through full-wave 3D numerical simulations. We address two type of questions: optimization of the shape for a given refractive index and optimization of material properties.

关键词： Microwave absorbers Material properties optimization algorithms refractive index profile pyramidal structure

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Beamforming optimization for Generalized MIMO Y Channels with Both Multiplexing and Diversity

Beamforming Optimization for Generalized MIMO Y Channels wit...

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IEEE 75th Vehicular Technology Conference (VTC Spring)

作者： Zhou, Zhendong Vucetic, Branka Univ Sydney Sch Elect & Informat Engn Sydney NSW 2006 Australia

ISBN: (纸本)9781467309905;9781467309882

We consider a K-user multiple-input multiple-output (MIMO) relay channel, where each user sends independent messages to the other K - 1 users via a common relay in two time slots. All users and the relay are equipped with multiple antennas. In contrast to existing work, we consider systems with both multiplexing and diversity, where each user message contains multiple data streams and there are extra degrees of freedom to optimize the transmit beamforming matrices. We propose a novel iterative beamforming optimization algorithm based on orthogonal projection optimization with the signal sub-space alignment. An optimal power allocation is also considered to maximize the system sum rate. The sum rate performance of the proposed scheme in various channel configurations is verified by simulations, which shows that the proposed scheme produces significant improvement over existing one.

关键词： MULTIPLEXOR Beamforming Degree of freedom relay multiple antenna data flow power splitting optimization algorithms

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AN EFFICIENT SIMULATION-BASED optimization ALGORITHM FOR LARGE-SCALE TRANSPORTATION PROBLEMS

AN EFFICIENT SIMULATION-BASED OPTIMIZATION ALGORITHM FOR LAR...

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Winter Simulation Conference (WSC)

作者： Osorio, Carolina Chong, Linsen MIT Cambridge MA 02139 USA

ISBN: (纸本)9781467347792;9781467347808

This paper applies a computationally efficient simulation-based optimization (SO) algorithm suitable for large-scale transportation problems. The algorithm is based on a metamodel approach. The metamodel combines information from a high-resolution yet inefficient microscopic urban traffic simulator with information from a scalable and tractable analytical macroscopic traffic model. We then embed the model within a derivative-free trust region algorithm. We evaluate its performance considering tight computational budgets. We illustrate the efficiency of this algorithm by addressing an urban traffic signal control problem for the full city of Lausanne, Switzerland. The problem consists of a nonlinear objective function with nonlinear constraints. The problem addressed is considered large-scale and complex both in the fields of derivative-free optimization and simulation-based optimization. We compare the performance of the method to a traditional metamodel method.

关键词： optimization algorithms Metamodels traffic in cities Objective function transport large sizes Scalability macro-traffic model algorithm efficiency traffic signal controller nonlinear constraint Traffic signal control systems algorithms

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Comparison of different optimization techniques in microstrip filter design

Comparison of different optimization techniques in microstri...

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Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)

作者： Zich, R. E. Mussetta, M. Grimaccia, F. Gandelli, A. Linh, H. M. Agoletti, G. Bertarini, M. Combi, L. Scaramuzzino, P. F. Serboli, A. Politecn Milan Dipartimento Energia I-20156 Milan Italy

ISBN: (纸本)9781457715587

Rece ntly there is an increasing attention on some novel techniques among Evolutionary optimization algorithms, such as Ant Colony optimization (ACO), Biogeography Based optimization (BBO), Differential Evolution (DE), Population-Based Incremental Learning (PBIL) and Stud Genetic Algorithm (SGA). The design of a microwave microstrip pass-band filter is here addressed considering different recently developed evolutionary optimization algorithms, in order to compare their performances on a benchmark EM optimization problem. Results show that some techniques (DE, BBO, SGA) are particularly effective in dealing with this kind of complex EM problem.

关键词： optimization algorithms Microstrip filters Passband belt cleaner Evolutionary

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Using Field-to-Wire Coupling Technique in optimization of Energy Harvesting Devices

Using Field-to-Wire Coupling Technique in Optimization of En...

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Asia-Pacific International Symposium on Electromagnetic Compatibility (APEMC)

作者： Shadmehr, Houriyeh Mussetta, Marco Grimaccia, Francesco Gualdoni, Moris Gandelli, A. Zich, R. E. Politecn Milan Dipartimento Energia I-20156 Milan Italy

ISBN: (纸本)9781457715587

This paper proposes the optimized design of a wireless energy harvesting device (EHD), by means of an evolutionary optimization method. An important component in energy harvesting technique is rectenna. In this paper, Electromagnetic coupling to transmission line terminated by a non-linear load (e.g. rectifier) is considered as rectenna and in order to increase the power density harvested from radiated field, the field-to-wire coupling must be maximized. Hence, an optimization algorithm called Genetic Swam optimization (GSO) is applied. This procedure is developed in order to increase the lifetime of a wireless sensor network by scavenging RF energy available in the environment.

关键词： energy harvesting Rectennas coupling technique RF energy Optimal design Rectifiers optimization algorithms optimization method Transmission Lines POWER DENSITY

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REFERENCE POINT-BASED EVOLUTIONARY MULTI-OBJECTIVE optimization FOR INDUSTRIAL SYSTEMS SIMULATION

REFERENCE POINT-BASED EVOLUTIONARY MULTI-OBJECTIVE OPTIMIZAT...

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Winter Simulation Conference (WSC)

作者： Siegmund, Florian Bernedixen, Jacob Pehrsson, Leif Ng, Amos H. C. Deb, Kalyanmoy Univ Skovde Virtual Syst Res Ctr S-54128 Skovde Sweden

ISBN: (纸本)9781467347792;9781467347808

In Multi-objective optimization the goal is to present a set of Pareto-optimal solutions to the decision maker (DM). One out of these solutions is then chosen according to the DM preferences. Given that the DM has some general idea of what type of solution is preferred, a more efficient optimization could be run. This can be accomplished by letting the optimization algorithm make use of this preference information and guide the search towards better solutions that correspond to the preferences. One example for such kind of algorithms is the Reference point-based NSGA-II algorithm (R-NSGA-II), by which user-specified reference points can be used to guide the search in the objective space and the diversity of the focused Pareto-set can be controlled. In this paper, the applicability of the R-NSGA-II algorithm in solving industrial-scale simulation-based optimization problems is illustrated through a case study for the improvement of a production line.

关键词： systems simulation reference station Solutions Preferences optimization algorithms Guiding devices Evolutionary

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Rate control for heterogeneous wireless sensor networks: Characterization, algorithms and performance

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COMPUTER NETWORKS 2012年第17期56卷 3783-3794页

作者： Jin, Jiong Palaniswami, Marimuthu Krishnamachari, Bhaskar Univ Melbourne Dept Elect & Elect Engn Melbourne Vic 3010 Australia Univ So Calif Ming Hsieh Dept Elect Engn Los Angeles CA 90089 USA

This paper addresses the rate control and resource allocation problem for heterogeneous wireless sensor networks, which consist of diverse node types or modalities such as sensors and actuators, and different tasks or applications. The performance of these applications, either elastic traffic nature (e.g., typical data collection) or inelastic traffic nature (e.g., real-time monitoring and controlling), is modeled as a utility function of the sensor source rate. The traditional rate control approach, which requires the utility function to be strictly concave, is no longer applicable because of the involvement of inelastic traffic. Therefore, we develop a utility framework of rate control for heterogeneous wireless sensor networks with single- and multiple-path routing, and propose utility fair rate control algorithms, that are able to allocate the resources (wireless channel capacity and sensor node energy) efficiently and guarantee the application performance in a utility proportional or max-min fair manner. Furthermore, the optimization and convergence of the algorithm is investigated rigorously as well. (C) 2012 Elsevier B.V. All rights reserved.

关键词： Sensor network Rate control Resource allocation optimization algorithms

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Designing the C-GEN lightweight direct drive generator for wave and tidal energy

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IET RENEWABLE POWER GENERATION 2012年第3期6卷 161-170页

作者： Keysan, O. Mueller, M. McDonald, A. Hodgins, N. Shek, J. Univ Edinburgh Sch Engn Joint Res Inst Energy Inst Energy Syst Edinburgh EH9 3JL Midlothian Scotland Univ Strathclyde Inst Energy & Environm Glasgow G1 1XQ Lanark Scotland

The C-GEN is a novel permanent magnet generator aimed at reducing overall system mass in direct drive power takeoff applications. The design of a C-GEN generator requires the combination of electromagnetic, structural and thermal models. Models used in the development of design tools applicable to both rotary and linear C-GEN generators are described in this study. The design tool is verified with the experiment results obtained from a 15 kW prototype. A genetic optimisation algorithm is developed combining the analytical model with economical issues to search for most suitable designs for specific applications. Designs are presented using the optimisation design tool for two marine renewable applications: a wave device called Oyster developed by Aquamarine Power and a tidal current device developed by Scotrenewables.

关键词： Magnetoelectric generators aquamarine Optimal design design tools Lightweight Oysters DIRECT DRIVE poly(A-C) tidal energy optimization algorithms vacuum assisted closure device

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Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools

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APPLIED INTELLIGENCE 2012年第2期37卷 239-254页

作者： Castillo, P. A. Arenas, M. G. Rico, N. Mora, A. M. Garcia-Sanchez, P. Laredo, J. L. J. Merelo, J. J. Univ Granada Depto Arquitectura & Tecnol Comp ETSIIT CITIC Granada Spain

When search methods are being designed it is very important to know which parameters have the greatest influence on the behaviour and performance of the algorithm. To this end, algorithm parameters are commonly calibrated by means of either theoretic analysis or intensive experimentation. When undertaking a detailed statistical analysis of the influence of each parameter, the designer should pay attention mostly to the parameters that are statistically significant. In this paper the ANOVA (ANalysis Of the VAriance) method is used to carry out an exhaustive analysis of a simulated annealing based method and the different parameters it requires. Following this idea, the significance and relative importance of the parameters regarding the obtained results, as well as suitable values for each of these, were obtained using ANOVA and post-hoc Tukey HSD test, on four well known function optimization problems and the likelihood function that is used to estimate the parameters involved in the lognormal diffusion process. Through this statistical study we have verified the adequacy of parameter values available in the bibliography using parametric hypothesis tests.

关键词： Statistical analysis Search method parameters ANOVA Statistical significance optimization algorithms Parameter tuning SA

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