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在“Elsevier电子期刊”中，命中：6,481条，耗时：0.0499448 秒

在所有数据库中总计命中：72,937条

1.A new loss function for multi-response optimization with model parameter uncertainty and implementation errors

作者：Linhan Ouyang^a ; ^{linnouyang@gmail.com} ; Yizhong Ma^b ; ^{yzma-2004@163.com} ; Jianjun Wang^b ; ^{jjwang@njust.edu.cn} ; Yiliu Tu^c ; ^{yiliutu@hotmail.com}

关键词：Quality management ; Multi-response optimization ; Model parameter uncertainty ; Implementation errors ; Robustness

刊名：European Journal of Operational Research

出版年：2017

2.Wavelet twin support vector machines based on glowworm swarm optimization

作者：Shifei Ding^a ; ^b ; Author Vitae ; Yuexuan An^aAuthor Vitae ; Xiekai Zhang^aAuthor Vitae ; Fulin Wu^aAuthor Vitae ; Yu Xue^cAuthor Vitae

关键词：Twin support vector machine ; Wavelet twin support vector machine ; Parameter optimization ; Glowworm swarm optimization

刊名：Neurocomputing

出版年：2017

3.Parameter optimization of heavy-load parallel manipulator by introducing stiffness distribution evaluation index

作者：Hao Wang^a ; ^{wanghao@sjtu.edu.cn} ; Linsong Zhang^a ; Genliang Chen^a ; Shunzhou Huang^b

关键词：Parameter optimization ; Stiffness distribution index ; KES analysis ; PSO algorithm ; Parallel manipulator

刊名：Mechanism and Machine Theory

出版年：2017

4.Efficient truss optimization using the contrast-based fruit fly optimization algorithm

作者：Stratis Kanarachos ; ^{stratis.kanarachos@coventry.ac.uk} ; James Griffin ^{ac0393@coventry.ac.uk} ; Michael E. Fitzpatrick ^{ab6856@coventry.ac.uk}

关键词：Fruit fly optimization ; Multi-parameter ; Truss optimization

刊名：Computers & Structures

出版年：2017

5.Fast multi-objective optimization of multi-parameter antenna structures based on improved MOEA/D with surrogate-assisted model

作者：Jian Dong^a ; ^{dongjian@csu.edu.cn} ; Qianqian Li^a ; ^{294126260@qq.com} ; Lianwen Deng^b ; ^{dlw626@163.com}

关键词：Multi-objective optimization ; Antenna design ; MOEA/D ; Surrogate model

刊名：AEU - International Journal of Electronics and Communications

出版年：2017

6.Multi-parameter optimization of cold energy recovery in cascade Rankine cycle for LNG regasification using genetic algorithm

作者：Sangick Lee ^{ickswing@gmail.com}

关键词：LNG regasification ; Genetic algorithm ; Energy recovery ; Optimization

刊名：Energy

出版年：2017

7.Multi-model approach based on parametric sensitivities - A heuristic approximation for dynamic optimization of semi-batch processes with parametric uncertainties

作者：Jennifer Puschke^a ; ¹ ; ^{jennifer.puschke@avt.rwth-aachen.de} ; Alexandr Zubov^b ; ² ; ^{alexandr.zubov@vscht.cz} ; Juraj Kosek^b ; ² ; ^{juraj.kosek@vscht.cz} ; Alexander Mitsos^a ; ¹ ; ^{amitsos@alum.mit.edu}

关键词：Parameter uncertainty ; Uncertain dynamic systems ; Optimal control problem ; Robust dynamic optimization

刊名：Computers & Chemical Engineering

出版年：2017

8.Lévy flight based pigeon-inspired optimization for control parameters optimization in automatic carrier landing system

作者：Rui Dou ; Haibin Duan ; ^{hbduan@buaa.edu.cn}

关键词：Carrier landing ; Automatic carrier landing system (ACLS) ; Pigeon inspired optimization (PIO) ; Lé ; vy flight

刊名：Aerospace Science and Technology

出版年：2017

9.On the asymptotic bias of the diffusion-based distributed pareto optimization

作者：Reza Arablouei^a ; ^{reza.arablouei@csiro.au" class="auth_mail" title="E-mail the corresponding author} ; Kutluyıl Doğanç ; ay^b ; Stefan Werner^c ; Yih-Fang Huang^d

关键词：Asymptotic bias ; Diffusion strategies ; Distributed optimization ; Pareto optimization ; Performance analysis

刊名：Signal Processing

出版年：2017

10.Beam parameter optimization at CLIC using the process at 380 GeV

作者：F. Andrianala^a ; ^b ; ^{fenompanirina.andrianala@cern.ch} ; R. Raboanary^a ; P. Roloff^b ; D. Schulte^b

关键词：CLIC ; Beamstrahlung ; Higgsstrahlung ; Beam parameters ; Optimization

刊名：Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

出版年：2017

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