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检索条件"任意字段=International Workshop on Multilevel Optimization - Algorithms and Applications"

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applications of global flow analysis in logic synthesis

Applications of global flow analysis in logic synthesis

引用

IEEE international Symposium on Circuits and Systems (ISCAS)

作者： L. Berman L. Trevillyan D. Brand Mathematical Sciences Department IBM Research Division IBM Thomas J. Watson Research Center Yorktown Heights NY USA Computer Sciences Department IBM Research Division IBM Thomas J. Watson Research Center Yorktown Heights NY USA

The authors describe a representation for multilevel circuits derived using the techniques of data-flow analysis. The usefulness of this representation is illustrated by describing algorithms for two of the fundamental problems of logic design: reducing the size of a circuit and increasing its testability. The authors obtain algorithms for circuit-size reduction by characterizing a class of function-preserving circuit transformations in terms of the representation and describe a novel algorithm from this class that uses approximate summary information to map the problem of reducing circuit size to that of finding a small cut in an associated graph. The algorithms for improving testability rely on the fact that the proposed representation permits conditional deductions to be performed efficiently. These algorithms have been implemented as part of an automatic design system in use within IBM.< >

关键词： Logic design Circuit testing Circuit synthesis optimization methods Optimizing compilers Application software Data analysis Logic testing Performance evaluation Algorithm design and analysis

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Rapid optimization of Dielectric Rod Arrays for Microwave Radiation Shaping applications

Rapid Optimization of Dielectric Rod Arrays for Microwave Ra...

引用

international Conference on Numerical Electromagnetic Modeling and optimization for RF, Microwave, and Terahertz applications (NEMO)

作者： Şirin Yazar M. Enes Hatipoğlu Özgür Eriş Özgür Ergül Fatih Dikmen Dept. of Electrical and Electronics Eng. Middle East Technical University Ankara Turkey ASELSAN Research Center Ankara Turkey Electronics Eng. Dept. Gebze Technical University Kocaeli Turkey

Well-designed arrangements of arrays of circular lossy dielectric rods with finite lengths have been exploited to obtain proper radiation patterns for microwave applications. Accelerated three-dimensional (3D) numerical modeling of such radiation mechanisms via the multilevel fast multipole algorithm (MLFMA) is suitable for well-matched results with real-life experiments. Enabling rigorous and accurate analyses of the corresponding problems, MLFMA, has been observed to provide quasi-optimal designs within a reasonable period of time, when this algorithm is efficiently combined with genetic algorithms (GAs). However, as shown in this contribution, the corresponding two-dimensional (2D) multiple scattering modeling via a well-conditioned version of the T-matrix method provides a much faster tool for GAs to optimize radiation patterns for a goal set on the central cross section plane of the rod arrays. Optimized geometries obtained using a combination of the 2D solver and GAs have been validated by using a 3D solver based on MLFMA to demonstrate the feasibility of the approach.

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Image de-noising based on optimized NLM algorithm

Image de-noising based on optimized NLM algorithm

引用

IEEE international workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and applications

作者： Volodymyr Fedak Adrian Nakonechny Computer systems of automation Lviv Polytechnic National University Lviv Ukraine

Images and video are often coded using block based discrete cosine transform (DCT) or discrete wavelet transform (DWT) that cause a great deal of visual distortions. Non-Local Means (NLM) algorithm is chosen by means of comparing complexity and quality of different algorithms and is considered to be the better algorithm for artifacts reduction. Besides, implementation of this algorithm is computationally intensive. In this note, improvements to the non-local means introduced in [3-8] are presented and very effective performance optimization approach is presented. This approach is based on additional memory usage for caching pixels distance in the image. We present the underlying framework and experimental results for video that is processed by NLM with different parameters.

关键词： Filtering optimization Complexity theory Algorithm design and analysis Image denoising Filtering algorithms Noise reduction

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Optimizing IIR Filter Design using Multi-Objective Genetic Algorithm: A Focus on Passband Ripple and Stopband Attenuation

Optimizing IIR Filter Design using Multi-Objective Genetic A...

引用

Control Engineering and Advanced algorithms (IWCEAA), international workshop on

作者： Yifan Wu Sino-European School of Technology of Shanghai University Shanghai University Shanghai China

ISBN: (数字)9798331528881

ISBN: (纸本)9798331528898

This study focuses on the multi-objective optimization of Infinite Impulse Response (IIR) filters, with a particular emphasis on minimizing passband ripple and maximizing stopband attenuation, while constraining the filter order within a feasible range of 4 to 10. Traditional IIR filter design methods, such as Butterworth, Chebyshev, and Elliptic filters, often focus on optimizing a single performance criterion. However, this approach can lead to suboptimal designs when multiple objectives - such as ripple, attenuation, and filter order - need to be considered simultaneously in the design process. These classical methods typically face tradeoffs, where improving one aspect, such as sharper roll-off, results in drawbacks in another, like increased passband ripple or higher filter order, resulting in added computational complexity. To address these challenges, this research applies the Non-dominated Sorting Genetic Algorithm II (NSGA-II), which is a robust evolutionary algorithm designed for multi-objective optimization. NSGA-II is employed to balance the conflicting goals of minimizing ripple and maximizing stopband attenuation, with the filter order constrained within a feasible range of 4 to 10. By generating a set of Pareto-optimal solutions, the algorithm allows designers to explore the tradeoffs between different objectives and select filter configurations based on specific application needs. The experimental results show that the proposed approach not only enhances filter performance in terms of signal quality and computational efficiency but also offers greater flexibility in filter design. The research demonstrates that multi-objective optimization is a more comprehensive and effective methodology for designing IIR filters, especially in applications requiring a careful balance between performance and complexity. This study contributes to the advancement of digital filter design by providing a more adaptable and robust framework for optimizing filter performa

关键词： Finite impulse response filters Adaptive filters Signal processing algorithms IIR filters Filtering algorithms Attenuation Real-time systems Passband optimization Genetic algorithms

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A global optimal technique based on Moving Least Square and Improved Differential Evolution

A global optimal technique based on Moving Least Square and ...

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international Conference on Electrical Machines and Systems (ICEMS)

作者： Yong Zhang Gang Lei K. R. Shao L. D. Lavers College of Electrical & Electronic Engineering Huazhong University of Science and Technology Wuhan China Department of Electrical & Computer Engineering University of Toronto Toronto Canada

This paper presents a global optimal technique based on moving least square (MLS) fitting technique and improved differential evolution algorithm (IDEA) for inverse problems on optimizing electromagnetic equipments. In the proposed method, MLS are firstly used to simulate complex objective functions as a response surface model (RSM) in multidimensional space, for transforming an implicit function to an explicit one, then differential evolution algorithm (DEA) is improved and used by combining with MLS to get the global optimization with high accuracy and efficiency. TEAM workshop Problem 22, as numerical benchmark, indicates that the proposed method is superior to other random optimal techniques, and it can be comprehensively used for inverse problems in engineering electromagnetic applications.

关键词： Least squares methods multilevel systems Surface fitting Inverse problems optimization methods Response surface methodology Electromagnetic devices Electromagnetic analysis Least squares approximation Multidimensional systems

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Topology-Aware Performance optimization and Modeling of Adaptive Mesh Refinement Codes for Exascale

Topology-Aware Performance Optimization and Modeling of Adap...

引用

international workshop on Communication optimizations in HPC (COMHPC)

作者： Cy P Chan John D Bachan Joseph P Kenny Jeremiah J Wilke Vincent E Beckner Ann S Almgren John B Bell Lawrence Berkeley National Laboratory Berkeley CA

We introduce a topology-aware performance optimization and modeling workflow for AMR simulation that includes two new modeling tools, ProgrAMR and Mota Mapper, which interface with the BoxLib AMR framework and the SSTmacro network simulator. ProgrAMR allows us to generate and model the execution of task dependency graphs from high-level specifications of AMR-based applications, which we demonstrate by analyzing two example AMR-based multigrid solvers with varying degrees of asynchrony. Mota Mapper generates multiobjective, network topology-aware box mappings, which we apply to optimize the data layout for the example multigrid solvers. While the sensitivity of these solvers to layout and execution strategy appears to be modest for balanced scenarios, the impact of better mapping algorithms can be significant when performance is highly constrained by network hop latency. Furthermore, we show that network latency in the multigrid bottom solve is the main contributing factor preventing good scaling on exascale-class machines.

关键词： Slabs Computational modeling Algorithm design and analysis Semantics optimization Programming Runtime

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An optimized design method of composite right/left handed transmission lines considering higher-order mode interaction by genetic algorithm

An optimized design method of composite right/left handed tr...

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IEEE international workshop on Electromagnetics, applications and Student Innovation (iWEM)

作者： Yoshie Mukainoge Hiroyuki Deguchi Mikio Tsuji Department of Electronics Doshisha University Japan

This paper proposes composed right/left handed transmission lines (CRLH-TL) consisting of arbitrarily-shaped conductor elements, which are designed by a genetic algorithm (GA). However, when the right/left handed transmission lines are constructed by these elements, the higher-order mode coupling between the adjacent elements often causes the unexpected transmission characteristics error and then the performance is deteriorated. So, we choose not only the phase constants in the case of infinite periodic cells but also transmission characteristics in periodic 3 cells as a fitness function. A design example is demonstrated, and its effectiveness is proved from comparison of transmission characteristics between the calculated and the measured results.

关键词： Genetic algorithms Design methodology Power transmission lines Conductors Couplings Transmission line measurements optimization

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On Cognitive Radar Jamming for countering Cognitive Electromagnetic Protection systems

On Cognitive Radar Jamming for countering Cognitive Electrom...

引用

Technologies for Defense and Security (TechDefense), IEEE international workshop on

作者： Hemanga Banerjee Christos Ilioudis Carmine Clemente Chris Williams Centre for Signal and Image Processing University of Strathclyde Glasgow Defence Science and Technology Laboratory Porton Down Wiltshire United Kingdom

ISBN: (数字)9798331505585

ISBN: (纸本)9798331505592

The paper introduces a novel model of a fully adaptive cognitive radar jamming approach, designed for the purpose of countering modern cognitive radars. Cognitive radar systems have been widely used in modern electromagnetic warfare and also serve as an effective counter to traditional jamming techniques. Cognitive jamming makes use of machine learning and adaptive signal processing strategies to dynamically adapt jamming strategies in response to real-time changes in target radar transmissions. The proposed model may be used to incorporate advanced reinforcement learning algorithms, signal feature extraction techniques, and waveform optimization techniques to create a cohesive system that can optimize jamming strategies with minimal prior knowledge of the electromagnetic environment. The paper also discusses the state-of-the-art in cognitive radar jamming technologies, and their efficiency in the face of intelligent radar equipped with advanced anti-jamming measures. Furthermore, it addresses current challenges and future directions in the field with considerations for defense and security applications.

关键词： Electromagnetic scattering Signal processing algorithms Cognitive radar Feature extraction Real-time systems Security Jamming Electromagnetics Protection optimization

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Ant Colony optimization and Swarm Intelligence 2008

引用

丛书名： Lecture Notes in Computer Science

2008年

作者： Marco Dorigo Mauro Birattari Christian Blum Maurice Clerc Thomas Stützle Alan Winfield

ISBN: (数字)9783540875277

ISBN: (纸本)9783540875260

This book constitutes the refereed proceedings of the 6th international workshop on Ant Colony optimization and Swarm Intelligence, ANTS 2008, held in Brussels, Belgium, in September 2008. The 17 revised full papers, 24 revised short papers, and 10 extended abstracts presented were carefully reviewed and selected from 91 submissions. The papers cover theoretical and foundational aspects of computational intelligence and related disciplines with special focus on swarm intelligence and are devoted to behavioral models of social insects and new algorithmic approaches, empirical and theoretical research in swarm intelligence, applications such as ant colony optimization or particle swarm optimization, and theoretical and experimental research in swarm robotics systems.

关键词： Ant algorithms Congresses. Mathematical optimization Computer programs Congresses.

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optimization of a class of non-convex objectives on the Gaussian MIMO multiple access channel: Algorithm development and convergence analysis

Optimization of a class of non-convex objectives on the Gaus...

引用

IEEE workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Daniel Calabuig Ramy H. Gohary Halim Yanikomeroglu Institute of Telecommunications and Multimedia Applications Universidad Politécnica de Valencia Valencia Spain Department of Systems and Computer Engineering Carleton University Ottawa Canada

In this paper we develop an algorithm for computing the optimal transmission parameters, which include the transmission covariance, the time-shares and the user-orderings that minimize a particular class of objectives defined over the capacity region of Gaussian multiple antenna multiple access channels. This class includes objectives that are twice-differentiable, non-increasing and convex in the users' rates, but not necessarily convex in the aforementioned transmission parameters. As such, this class includes design objectives that are non-convex and that, without the proposed algorithm, are difficult to solve in general. The proposed algorithm is iterative with polynomial complexity per iteration and with convergence to the global optimal guaranteed. The utility of this algorithm is illustrated via a numerical example for maximizing proportional fairness.

关键词： Signal processing algorithms Algorithm design and analysis Vectors Covariance matrices Convergence optimization Receivers

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