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检索条件"任意字段=2016 International Congress on Computation Algorithms in Engineering"

共 1728 条记录，以下是61-70 订阅

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Bayesian charged system search: A hybrid method for multi-modal optimization problems

Bayesian charged system search: A hybrid method for multi-mo...

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2016 IEEE congress on Evolutionary computation, CEC 2016

作者： Aryan, Mashall Alizadeh, B. Alireza M. School of Engineering and Computer Science Victoria University of Wellington New Zealand Department of Informatics University of Hamburg Germany

ISBN: (纸本)9781509006229

To guarantee an acceptable performance in swarm based methods, a proper balance between exploration and exploitation ability is crucial. Hybridization of optimization algorithms is a technique to achieve more appropriate balance between these qualities by integrating complementary characteristics of different search methods. In this paper, we propose a new hybrid algorithm based on Charged System Search. We have manipulated the normal search process of CSS to contain an additive section devoted to searching the most promising regions of the search space in accordance with the current best knowledge about the search landscape. We have also incorporated the idea of reducing the influential particle by applying a simple selection mechanism. The experimental studies depict that the proposed ideas enhance the exploitation rate of CSS and lead to more accurate results. © 2016 IEEE.

关键词： Optimization

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Comparative study of three feature selection methods for regional land cover classification using MODIS data

Comparative study of three feature selection methods for reg...

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1st international congress on Image and Signal Processing

作者： Li Shijin Zhu Yuelong Jun, Feng Ping, Ai Xi, Chen Hohai Univ Sch Comp & Informat Engn Nanjing 210098 Peoples R China Hohai Univ State Key Lab Hydrol Water Resource & Hydraul Eng Nanjing Jiangsu Peoples R China

ISBN: (纸本)9780769531199

Selecting suitable features is very crucial for achieving successful classification of land cover types. This paper presents a comparative study of three typical feature selection methods for the task of regional land cover classification using MODIS data. Comparison results have shown that Branch and Bound is the best for land cover classification with MODIS data, while ReliefF and mRMR achieve nearly the same accuracies on the target application. The experimental results also show that if is necessary to conduct feature selection, which can reduce the computation cost largely, while the accuracy remains the same or even better.

关键词： MODIS Remote sensing Feature extraction Neural networks Classification tree analysis Data engineering Decision trees Land surface Filters Classification algorithms

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A Recursive Algorithm for Solving the Generalized Velocities from the Momenta of Flexible Multibody Systems

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ASME international Mechanical engineering congress and Exposition

作者： Tong, Martin M. Aerosp Corp El Segundo CA 90245 USA

ISBN: (纸本)9780791848722

The computation of the generalized velocities from the generalized momenta of a multibody system is a part of the numerical solution of the dynamics equations when they are given in the Hamiltonian form. The states of these equations are the generalized coordinates and momenta, (q, p). The generalized velocity, (q) over dot, is defined by (q) over dot = J(-1)p, where J is the system mass matrix. The effort in solving (q) over dot by direct methods is order(N(3)) where N is the number of bodies in the system. This paper presents an order(N) recursive algorithm to compute (q) over dot for flexible multibody systems.

关键词： algorithms Dynamics (Mechanics) computation Momentum Multibody systems

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Feasibility study on decentralized control system for active acoustic shielding 45

Feasibility study on decentralized control system for active...

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45th international congress and Exposition on Noise Control engineering: Towards a Quieter Future, INTER-NOISE 2016

作者： Murao, Tatsuya Nishimura, Masaharu He, Jianjun Lam, Bhan Ranjan, Rishabh Shi, Chuang Gan, Woon-Seng Digital Signal Processing Lab. School of Electrical and Electronic Engineering Nanyang Technological University Singapore Tottori University Japan

In this paper, we introduce a modified multichannel FXLMS algorithm to reduce computation complexity by using the secondary path models that sum the secondary paths from all the secondary loudspeakers to each error microphone. Hence, only one error microphone is needed to update each noise control filter. In comparison, the previous algorithm that has been proven to be efficient in a small scale implementation on the Active Acoustic Shielding (AAS) employs the L nearest error microphones to a secondary loudspeaker, namely the M(1-1-L) FXLMS algorithm. When L equals to the number of secondary loudspeakers M, the algorithm is called the M(1-1)-M FXLMS algorithm. When only the nearest error microphone is employed, the algorithm is further decentralized to the M(1-1-1) FXLMS algorithm. Although, the newly introduced FXLMS algorithm is a variant of the M(1-1-1) algorithm, the secondary path models are modified. Therefore, we name this algorithm as M(1-1-1) with total path models FXLMS algorithm, M(1-1-1t) FXLMS algorithm in short. Simulation and experiment results are presented to compare three aforementioned algorithms and a possible solution to the large scale AAS implementation is suggested in consideration of the computation complexity and noise reduction performance. © 2016, German Acoustical Society (DEGA). All rights reserved.

关键词： Active noise control

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Oversampling-Guided Search for Evolutionary Multiobjective Optimization 13

Oversampling-Guided Search for Evolutionary Multiobjective O...

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13th IEEE congress on Evolutionary computation, CEC 2024

作者： Kimoto, Norihiro Horaguchi, Yuma Nakata, Masaya Collage of Engineering Science Yokohama National University Yokohama Japan

ISBN: (纸本)9798350308365

This paper proposes an oversampling-guided search framework to improve the search efficiency of multiobjective evolutionary algorithms (MOEAs) for high-dimensional prob-lems. The proposed algorithm uses an oversampling algorithm to generate artificial samples of obtained Pareto solutions, and then it uses those as parent solutions to guide the evolutionary search to good subspaces that have not been sufficiently explored. We in-corporate the proposed algorithm into two popular MOEAs, i.e., NSGA-II and IBEA. Experimental results show that the proposed algorithm significantly improves the performance of NSGA-II and IBEA on problems with up to 200 decision variables. We also discuss a possible direction for further improvement while demonstrating the drawbacks of using oversampling techniques. © 2024 IEEE.

关键词： Optimization algorithms

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A Proposal for Creating Congruent Content of Different Media Types by Interactive Evolutionary computation 12

A Proposal for Creating Congruent Content of Different Media...

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12th international congress on Advanced Applied Informatics, IIAI-AAI 2022

作者： Fukumoto, Makoto Miyamoto, Taichi Gan, Haoran Fukuoka Institute of Technology Dept. of Computer Science and Engineering Fukuoka Japan Fukuoka Institute of Technology Graduate School of Computer Science and Engineering Fukuoka Japan

ISBN: (数字)9781665497558

ISBN: (纸本)9781665497558

We enjoy multiple media content in our daily lives, and using congruent content composed of different media types is ideal. However, obtaining congruent media content is difficult. Interactive Evolutionary computation (IEC) is known as an effective approach to obtain good solutions for each user. However, conventional IECs treat single media types. This study proposes new Interactive Evolutionary computation that searches the congruent media content in terms of a good combination of different types of media content. In the proposed IEC, the solution candidate contains different media types as its variables. A system was constructed by employing a genetic algorithm to investigate the effectiveness of the IEC with experiment. The target of creation was the congruent content composed of music and scent. Twelve participants evaluated a set of musical melodies and scents repeatedly. As results, a trend of increase in the mean fitness and significant increase in maximum fitness were observed in the search experiment. However, enough increase in the fitness was not observed in the evaluation experiment. © 2022 IEEE.

关键词： Genetic algorithms

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Evolving Design for engineering Structures 13

Evolving Design for Engineering Structures

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13th IEEE congress on Evolutionary computation, CEC 2024

作者： Dubey, Rahul Hickinbotham, Simon Buchanan, Edgar Colligan, Andrew Briel, Imelda Price, Mark Tyrrell, Andy M. Missouri State University Computer Science United States School of Physics Engineering and Technology University of York United Kingdom School of Mechanical & Aerospace Engineering Queen's University Belfast United Kingdom

ISBN: (纸本)9798350308365

In recent years, the evolutionary developmental (Evo- Devo) concept has gained traction in the field of engineering design. This paper presents a new biologically inspired approach rooted in Evo- Devo principles to iteratively develop car chassis designs based on a specified design brief. The proposed method draws inspiration from biological cell growth and differentiation behaviors to generate intricate engineering designs. Employing evolutionary algorithms, the paper aims to evolve gene regulatory networks that govern the growth of a minimal viable design. The primary goal is to achieve an optimal design capable of withstanding sudden crash impacts within safety limits. Comprehensive simulation results demonstrate that the proposed approach, using genetic algorithms, evolves gene regulatory networks that generate a spectrum of viable designs. Furthermore, the best-evolved solution exhibits generalizability and adaptability across different simulation parameters. © 2024 IEEE.

关键词： Genes

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HPC METHODS FOR DOMAINS OF ATTRACTION computation

HPC METHODS FOR DOMAINS OF ATTRACTION COMPUTATION

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ASME international Design engineering Technical Conferences and Computers and Information in engineering Conference

作者： Belardinelli, Pierpaolo Lenci, Stefano Polytech Univ Marche Dept Civil & Bldg Engn & Architecture I-60131 Ancona Italy

ISBN: (纸本)9780791857168

The work is devoted to the development of efficient parallel algorithms for the computation of large-scale basins of attraction. Since the required computational resources increase exponentially with the dimension of a dynamical system, it is common to get into memory saturation or in a secular elaboration time. This paper presents a code, based on a cell mapping method, that evaluates basins of attraction for high-dimensional systems by exploiting the parallel programming. The proposed approach, by using a double-step algorithm, permits, i) to fully determine the basins in all the dimensions ii) to evaluate 2D Poincare sections of the system. The code is described in all its parts: the shell, in charge of the core management, permits to split over a multi-core environment the computing domain, it carries out an efficient use of the memory. A preliminary analysis of the performances is undertaken also by considering different dimensional grids;the optimal balance between computing cores and memory management cores is studied.

关键词： computation

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Differential evolution with a two-stage optimization mechanism for numerical optimization

Differential evolution with a two-stage optimization mechani...

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2016 IEEE congress on Evolutionary computation, CEC 2016

作者： Liu, Zhi-Zhong Wang, Yong Yang, Shengxiang Cai, Zixing School of Information Science and Engineering Central South University Changsha410083 China School of Computer Science and Informatics De Montfort University LeicesterLEI 9BH United Kingdom

ISBN: (纸本)9781509006229

Differential Evolution (DE) is a popular paradigm of evolutionary algorithms, which has been successfully applied to solve different kinds of optimization problems. To design an effective DE, it is necessary to consider different requirements of the exploration and exploitation at different evolutionary stages. Motivated by this consideration, a new DE with a two-stage optimization mechanism, called TSDE, has been proposed in this paper. In TSDE, based on the number of fitness evaluations, the whole evolutionary process is divided into two stages, namely the former stage and the latter stage. TSDE focuses on improving the search ability in the former stage and emphasizes the convergence in the latter stage. Hence, different trial vector generation strategies have been utilized at different stages. TSDE has been tested on 25 benchmark test functions from IEEE CEC2005 and 30 benchmark test functions from IEEE CEC2014. The experimental results suggest that TSDE performs better than four other state-of-the-art DE variants. © 2016 IEEE.

关键词： Evolutionary algorithms

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A GRAPHICAL APPROACH FOR FREEFORM SURFACE OFFSETTING WITH GPU ACCELERATION FOR SUBTRACTIVE 3D PRINTING 11

A GRAPHICAL APPROACH FOR FREEFORM SURFACE OFFSETTING WITH GP...

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11th ASME international Manufacturing Science and engineering Conference (MSEC)

作者： Hossain, Mohammad M. Vuduc, Richard W. Nath, Chandra Kurfess, Thomas R. Tucker, Thomas M. Georgia Inst Technol Coll Comp Atlanta GA 30332 USA Georgia Inst Technol Sch Mech Engn Atlanta GA 30332 USA Tucker Innovat Inc Waxhaw NC 28173 USA Hitachi Amer Ltd Div Res & Dev Farmington Hills MI USA

ISBN: (纸本)9780791849903

The lack of plug-and-play programmability in conventional toolpath planning approach in subtractive manufacturing, i.e., machining leads to significantly higher manufacturing cost for CNC based prototyping. In computer aided manufacturing (CAM) packages, typical B-rep or NURBS based representations of the CAD interfaces challenge core computations of tool trajectories generation process, such as, surface offsetting to be completely automated. In this work the problem of efficient generation of free-form surface offsets is addressed with a novel volumetric representation. It presents an image filter based offsetting algorithm, which leverages the parallel computing engines on modern graphics processor unit (GPU). The scalable voxel data structure and the proposed hardware-accelerated volumetric offsetting together advance the computation and memory efficiencies well beyond the capability of past studies. Additionally, in order to further accelerate the offset computation the problem of offsetting with a large distance is decomposed into successive offsetting using smaller distances. The accuracy of the offset algorithms is thoroughly analyzed. The developed GPU implementation of the offsetting algorithm is robust in computation, easy to comprehend, and achieves a 50-fold speedup on single graphics card (NVIDIA GTX780Ti) relative to prior best-performing dual socket quad-core CPU implementation.

关键词： Computer-aided manufacturing Graphics processing units Computer numerical control machine tools algorithms Engines Hardware Filters computation Computer-aided design Additive manufacturing Machining Manufacturing

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