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2009 international workshop on Intelligent Systems and applications, ISA 2009

作者： Li, Juan Yan, Jingfeng Zhai, Guanghui College of Computer Science and Technology Xuchang University Xuchang Henan 461000 China

ISBN: (纸本)9781424438945

An Improved Evolution Algorithm (IEA) is proposed in this paper. It has some new features: 1) using multi-parent search strategy and stochastic ranking strategy and a simple diversity rules to maintain the diversity of the population;2) using a hybrid self-adaptive crossover-mutation operator, which can enhance the search ability and exploit the optimum offspring;The algorithm of this paper is tested on 13 benchmark optimization problems with linear or/and nonlinear constraints and compared with other evolutionary algorithms. The experimental results demonstrate that the performance of IEA outperforms other evolutionary algorithms in terms of the quality of the final solution and the stability;and its computational cost is lower than the cost required by the other techniques compared. © 2009 IEEE.

关键词： Evolutionary algorithms

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5th international workshop on Approximation algorithms for Combinatorial optimization, APPROX 2002

5th International Workshop on Approximation Algorithms for C...

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5th international workshop On Approximation algorithms for Combinatorial optimization Problems, APPROX 2002

ISBN: (纸本)3540441867

The proceedings contain 22 papers. The special focus in this conference is on Approximation algorithms for Combinatorial optimization. The topics include: Search and classification of high dimensional data;bicriteria spanning tree problems;improved approximation algorithms for multilevel facility location problems;on constrained hypergraph coloring and scheduling;on the power of priority algorithms for facility location and set cover;two approximation algorithms for 3-cycle covers;approximation algorithms for the unsplittable flow problem;1.5-approximation for treewidth of graphs excluding a graph with one crossing as a minor;typical rounding problems;approximating min-sum set cover;approximating maximum edge coloring in multigraphs;approximating the complement of the maximum compatible subset of leaves of k trees;a 27/26-approximation algorithm for the chromatic sum coloring of bipartite graphs;facility location and the geometric minimum-diameter spanning tree;improved approximation algorithms for the partial vertex cover problem;minimum restricted diameter spanning trees;hardness of approximation for vertex-connectivity network-design problems;routing and admission control in networks with advance reservations;improved approximation algorithms for metric facility location problems;complexity of makespan minimization for pipeline transportation of petroleum products and primal-dual algorithms for connected facility location problems.

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Modelling process and optimization of EMC filters for power electronics applications

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COMPEL-THE international JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING 2012年第3期31卷 747-763页

作者： Gerbaud, Laurent Toure, Baidy Schanen, Jean-Luc Carayon, Jean-Pierre Grenoble Elect Engn Lab G2Elab St Martin Dheres France Aerosp Toulouse SAS Toulouse France Liebherr Aerosp Toulouse SAS Toulouse France

Purpose - The frequency simulation and optimisation of electromagnetic compatibility (EMC) filter is often computation time consuming. The purpose of this paper is to propose an approach for easy and fast modelling and optimization of power electronics structures. Design/methodology/approach - The paper proposes an approach for easy and fast modelling and optimization of power electronics structures. It focuses on the EMC filter design. To achieve this task time simulation, FFT and automatic frequency modelling are combined. Findings - An automatic frequency modelling is proposed and also gives automatically the model gradients. Therefore, the model can be used to optimize the EMC filter, but also can help in choosing its topology. Several optimization algorithms are used and compared. Research limitations/implications - The power electronics load is supposed to be a set of predefined harmonic sources, obtained by time simulation + FFT before the optimisation process. Practical implications - The frequency model allows for the rapid designing and comparing of several structures or modelling hypothesis with regard to the parasitic elements and circuit imperfections. Originality/value - The frequency model is automatically generated, and sizing criteria on the component (e.g. inductors, capacitor) can be added in an analytical form, for example, to deal with volume or mass criteria.

关键词： Electric power systems Power electronics filters Optimum design Automatic frequency modelling Electromagnetic compatibility Filter design optimization

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A Stock Price Forecasting Application using Neural Networks with Multi-Optimizer 9

A Stock Price Forecasting Application using Neural Networks ...

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9th IEEE international workshop on Computational Intelligence and applications (IWCIA)

作者： Worasucheep, Chukiat KMUTT Fac Sci Dept Math Appl Comp Sci Program Bangkok Thailand

ISBN: (纸本)9781509027750

This paper proposes an application prototype for forecasting of stock prices using feed-forward neural network with back propagation, Particle Swarm optimization and Differential Evolution. The prototype provides a convenient graphical user interface that allows choosing stocks, period of data, percentage of training set, technical indicators for model inputs and other algorithmic parameters. Multithreading is provided for efficient running and the downloaded historical data and forecasted output can be save for future use. An experiment was performed to investigate the performance of the three algorithms as well as the effects of number of hidden nodes of the neural networks.

关键词： Artificial neural network back propagation hybrid algorithm particle swarm optimization stock forecasting application

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Waveform optimization for Large-Scale Multi-Antenna Multi-Sine Wireless Power Transfer 17

Waveform Optimization for Large-Scale Multi-Antenna Multi-Si...

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17th IEEE international workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Huang, Yang Clerckx, Bruno Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England Korea Univ Sch Elect Engn Seoul South Korea

ISBN: (纸本)9781509017492

Wireless power transfer (WPT) is expected to be a technology reshaping the landscape of low-power applications such as the Internet of Things, machine-to-machine communications and radio frequency identification networks. Although there has been some progress towards multi-antenna multi-sine WPT design, the large-scale design of WPT, reminiscent of massive multiple-input multiple-output (MIMO) in communications, remains an open problem. Considering the nonlinear rectifier model, a multiuser waveform optimization algorithm is derived based on successive convex approximation (SCA). A lower-complexity algorithm is derived based on asymptotic analysis and sequential approximation (SA). It is shown that the difference between the average output voltage achieved by the two algorithms can be negligible provided the number of antennas is large enough. The performance gain of the nonlinear model based design over the linear model based design can be large, in the presence of a large number of tones(1).

关键词： Wireless power transfer nonlinear model massive MIMO convex optimization

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optimization of placement in the tasks of rapid prototyping and manufacturing of volumetric parts based on additive technologies 2

Optimization of placement in the tasks of rapid prototyping ...

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2nd international workshop on Information, Computation, and Control Systems for Distributed Environments, ICCS-DE 2020

作者： Verkhoturov, M.A. Verkhoturova, G.N. Yagudin, R.R. Danilov, K.V. Karimov, R.R. Kondratyeva, N.V. Valeev, S.S. Ufa State Aviation Technical University K. Marx Str. 12 Ufa450008 Russia Sochi State University Politekhnicheskaya Str. 7 Sochi354008 Russia

The problem of optimizing the life cycle of complex three-dimensional objects in small-scale production is considered. Additive technologies and optimization algorithms for the placement of three-dimensional objects are considered as technologies to solve this problem. Using the multilevel synthesis method can significantly reduce the time for prototyping new products. It should be noted that since several independent parts can be manufactured at the same time, this problem belongs to the class of optimization geometric modelling problems, namely, the problem of three-dimensional irregular placement. An algorithmic solution is proposed for the most complex task - placing 3D objects in a container. The results of the analysis of the effectiveness of the proposed algorithms are discussed. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Life cycle

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CONVEX optimization FOR EXACT RANK RECOVERY IN TOPIC MODELS

CONVEX OPTIMIZATION FOR EXACT RANK RECOVERY IN TOPIC MODELS

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21st IEEE international workshop on Machine Learning for Signal Processing (MLSP)

作者： Behmardi, Behrouz Raich, Raviv Oregon State Univ Sch EECS Corvallis OR 97331 USA

ISBN: (纸本)9781457716232

Topic models are widely used in a variety of applications including document classification and computer vision. The number of topics in the model plays an important role in terms of accuracy. We consider the problem of estimating the number of topics. In [1], a convex optimization approach was proposed to solve the problem via a constrained nuclear norm minimization. A standard semidefinite programming (SDP) was applied to solve the convex optimization only for a small size problem (e. g. 100x 100 matrix) due to its high computational complexity. To extend the applicability of the approach to large scale problems, we propose an accelerated gradient algorithm (AGA). Numerical results show that proposed algorithm can reliably solve a wide range of large scale problems in a shorter time than SDP solvers. Moreover, algorithms applied to a fairly large size real world dataset and results are provided.

关键词： low rank matrix recovery nuclear norm minimization topic models convex optimization

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Proceedings - 3rd international workshop on High-Performance Reconfigurable Computing Technology and applications, HPRCTA'09, held in Conjunction with SC09

Proceedings - 3rd International Workshop on High-Performance...

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3rd international workshop on High-Performance Reconfigurable Computing Technology and applications, HPRCTA'09, held in Conjunction with SC09

ISBN: (纸本)9781605587219

The proceedings contain 6 papers. The topics discussed include: FPGA-based acceleration of CHARMM-potential minimization;an integrated reduction technique for a double precision accumulator;SCF: a device- and language-independent task coordination framework for reconfigurable, heterogeneous systems;a framework for core-level modeling and design of reconfigurable computing algorithms;sorting on architecturally diverse computer systems;and bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+.

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Estimation of the reliability, speed and cost parameters of the different type of flip-flops

Estimation of the reliability, speed and cost parameters of ...

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1st international workshop on Intelligent Data Acquisition and Advanced Computing Systems

作者： Vasiltsov, I Mandzij, B Bench, A Ternopil Acad Natl Econ Inst Comp Informat Technol UA-48004 Ternopol Ukraine

ISBN: (纸本)078037164X

In this paper the approach for estimation of three most important parameters of the designed computational devices has been proposed. On the basis of the proposed approach the developer can estimate the reliability, speed and cost parameters called as "global optimization criteria". It allows to choose the optimal structure of the designed computational devices at the early stages of designing. As an example different type of flip-flops have been investigated. Their global optimization parameters criteria have been estimated. The analysis of the investigation results shows that the values of these parameters depend on specific realization structure of the devices and input transition as well. The proposed approach can be applied for evolutionary multi-objective optimization algorithms.

关键词： evolutionary multi-objective optimization global optimization criteria functional reliability

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Antenna Structure Prediction and optimization Based on Machine Learning and Grid Search

Antenna Structure Prediction and Optimization Based on Machi...

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IEEE international workshop on Electromagnetics - applications and Student Innovation Competition (IWEM)

作者： Huang, Chung-Hao Tsao, Han-Hsiang Hsu, Chang-Chen Ali, Amir Liao, Sen-Yu Chung Yuan Christian Univ Dept Elect Engn Taoyuan Taiwan

ISBN: (纸本)9798350366983;9798350366976

In the antenna design process, designers often modify antenna dimensions iteratively to meet specified performance criteria, using simulation software to guide adjustments based on predefined targets. In this paper, a rectangular patch microstrip antenna is used as a research target, and it proposes the use of hyperparameter algorithms and machine learning to predict the optimal size of the antenna, focusing on the frequency range of 2 to 5 GHz. With simulated antenna widths ranging from 20 to 24 mm, lengths ranging from 17 to 21 mm, and slot intervals ranging from 0 to 5 mm. This research utilizes Decision Trees, Random Forests, and XGBoost as three distinct machine learning algorithms to evaluate their effectiveness. The results show that the random forest algorithm using the Grid Search CV achieves the best result with an MSE of 0.108, RMSE of 0.329, and R-squared of 0.94. Based on these results, the antenna design process can be accelerated by machine learning to meet the desired performance targets.

关键词： patch antenna machine learning grid search

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