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在“Elsevier电子期刊”中，命中：28,431条，耗时：0.1299036 秒

在所有数据库中总计命中：205,954条

1.Performance analysis of the deficient length NSAF algorithm and a variable step size method for improving its performance

作者：Yi Yu^a ; ^b ; ^{yuyi_xyuan@163.com}Author Vitae ; Haiquan Zhao^a ; ^b ; ^{hqzhao_swjtu@126.com}Author Vitae

关键词：Normalized subband adaptive filter algorithm ; Deficient length adaptive filter ; Transient and steady-state analyses ; Colored input ; Variable step size

刊名：Digital Signal Processing

出版年：2017

2.An algorithm with performance guarantee for the Online Container Relocation Problem

作者：Elisabeth Zehendner^a ; ^{zehendner@emse.fr} ; Dominique Feillet ; ^a ; ^{feillet@emse.fr} ; Patrick Jaillet^b ; ^{jaillet@mit.edu}

关键词：Container terminal ; Algorithm with performance guarantee ; Container relocation ; Online algorithm

刊名：European Journal of Operational Research

出版年：2017

3.z²-proportionate diffusion LMS algorithm with mean square performance analysis

作者：Han-Sol Lee ^{skyst24@postech.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Sung-Hyuk Yim ^{isurus83@postech.ac.kr" class="auth_mail" title="E-mail the corresponding author} ; Woo-Jin Song ; ^{wjsong@postech.ac.kr" class="auth_mail" title="E-mail the corresponding author}

关键词：Distributed estimation ; Sparse adaptive filter ; Proportionate-type diffusion LMS algorithm

刊名：Signal Processing

出版年：2017

4.A proper infill sampling strategy for improving the speed performance of a Surrogate-Assisted Evolutionary Algorithm

作者：Loris Vincenzi ; ^{loris.vincenzi@unimore.it" class="auth_mail" title="E-mail the corresponding author} ; Paola Gambarelli

关键词：Surrogate model ; Evolutionary algorithm ; Model updating ; Differential evolution ; Infill sampling strategy

刊名：Computers & Structures

出版年：2017

5.Improving performance of FxRLS algorithm for active noise control of impulsive noise

作者：Ayesha Zeb ; ^{ayeshazeb79@ee.ceme.edu.pk" class="auth_mail" title="E-mail the corresponding author} ; Alina Mirza ; Qasim Umar Khan ; Shahzad A. Sheikh

关键词：Active noise control ; Impulsive noise ; Stable distributions ; FxRLS algorithm

刊名：Applied Acoustics

出版年：2017

6.Learning backtracking search optimisation algorithm and its application

作者：Debao Chen^a ; ^{chendb_8@163.com" class="auth_mail" title="E-mail the corresponding author} ; Feng Zou^a ; Renquan Lu^b ; ; Peng Wang^a

关键词：Evolutionary algorithm ; backtracking search algorithm ; Teaching-learning&ndash ; based optimisation ; Artificial neural network training ; Optimisation problems

刊名：Information Sciences

出版年：2017

7.CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization

作者：Noor H. Awad^a ; ^{noor0029@ntu.edu.sg" class="auth_mail" title="E-mail the corresponding author} ; Mostafa Z. Ali^b ; ^{mzali.pn@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Ponnuthurai N. Suganthan^a ; ^{epnsugan@ntu.edu.sg" class="auth_mail" title="E-mail the corresponding author} ; Robert G. Reynolds^c ; ^{Robert.reynolds@wayne.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Evolutionary algorithm ; Cultural algorithm ; Differential evolution ; Numerical optimization

刊名：Information Sciences

出版年：2017

8.Optimal foraging algorithm for global optimization

作者：Guang-Yu Zhu ; ^{zhugy@fzu.edu.cn} ; Wei-Bo Zhang

关键词：Optimal foraging algorithm (OFA) ; Optimal foraging theory ; Stochastic search algorithm ; Evolutionary algorithms ; Behavioral ecology

刊名：Applied Soft Computing

出版年：2017

9.A new hybrid bee pollinator flower pollination algorithm for solar PV parameter estimation

作者：J. Prasanth Ram^a ; ^{jkprasanthram@gmail.com} ; T. Sudhakar Babu^a ; ^{sudhakarbabu66@gmail.com} ; Tomislav Dragicevic^b ; ^{tdr@et.aau.dk} ; N. Rajasekar^a ; ^{natarajanrajasekar@gmail.com}

关键词：BPFPA - Bee Pollinator Flower Pollination Algorithm ; PV - Photo Voltaic ; GA- Genetic Algorithm ; FPA - Flower Pollination Algorithm ; HS - Harmony Search

刊名：Energy Conversion and Management

出版年：2017

10.High-performance generation of the Hamiltonian and Overlap matrices in FLAPW methods

作者：Edoardo Di Napoli^a ; ^b ; ^c ; ^{e.di.napoli@fz-juelich.de} ; Elmar Peise^c ; ^{peise@aices.rwth-aachen.de} ; Markus Hrywniak^d ; ^{markus.hrywniak@rwth-aachen.de} ; Paolo Bientinesi^c ; ^{pauldj@aices.rwth-aachen.de}

关键词：Density functional theory ; High-performance computing ; Dense linear algebra ; Matrix generation ; Performance portability ; FLAPW ; FLEUR

刊名：Computer Physics Communications

出版年：2017

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