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A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Basedon Multi-Factor Analysis and a Multi-Model Ensemble Article

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Engineering 2021, Volume 7, Issue 12,   Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023

Abstract: In this paper, a new DO hybrid forecasting model is proposed that includes three stages: multi-factoranalysis, adaptive decomposition, and an optimization-based ensemble.The ensemble weights of these five sub-forecasting models are calculated by particle swarm optimizationFinally, a multi-factor ensemble model for DO is obtained by weighted allocation.② the proposed model is superior to other comparison models; and ③ the forecasting model can be used

Keywords： Dissolved oxygen concentrations forecasting     Time-series multi-step forecasting     Multi-factor analysis     Empirical wavelet transform decomposition     Multi-model optimization ensemble    

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Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 340-352 doi: 10.1007/s11465-021-0629-3

Abstract: Therefore, a multi-model ensemble deep learning method based on deep convolutional neural network (DCNNLastly, a 2D DCNN model with multi-layer convolution and pooling is used to automatically learn features

Keywords： fault intelligent diagnosis     deep learning     deep convolutional neural network     high-dimensional samples    

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Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 4, doi: 10.1007/s11465-022-0703-5

Abstract: This study proposes a multi-objective optimization framework by combining an ensemble of metamodels (EMs) with the multi-objective artificial bee colony algorithm (MOABC) to identify the optimal welding

Keywords： laser beam welding     parameter optimization     metamodel     multi-objective    

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Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting Article

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Engineering 2023, Volume 24, Issue 5,   Pages 213-229 doi: 10.1016/j.eng.2022.06.007

Abstract:

Evaluating the impact of multi-source uncertainties in complex forecasting systems is essential toIn this study, we developed a general ensemble framework based on Bayesian model averaging (BMA) forevaluating the impact of multi-source uncertainties in complex forecast systems.framework, we used eight numerical weather prediction products from the International Grand Global EnsembleBy accounting for the significant uncertainty sources in complex forecast systems, the BMA ensemble forecasting

Keywords： Meteorological and hydrological forecasting     Uncertainty estimation     Bayesian model averaging     Ensembleprediction     Multi-model    

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Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target Research Articles

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000105

Abstract: By defining a new generalized labeled multi-Bernoulli density, we prove that it is closed under the Chapman-Kolmogorov

Keywords： Multi-maneuvering-target tracking     Multi-model     Generalized labeled multi-Bernoulli filter     Multi-target    

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Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: In this paper, a multi-timescale optimal scheduling model is established for interconnected data centers(IDCs) based on model predictive control (MPC), including day-ahead optimization, intraday rolling optimizationThe day-ahead optimization stage aims at the lowest operating cost, the rolling optimization stage aimsaims at the lowest power fluctuation, eliminating the impact of prediction errors through coordinated multi-timescaleoptimization.

Keywords： model predictive control     interconnected data center     multi-timescale     optimized scheduling     distributed    

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Finite element model updating of a large structure using multi-setup stochastic subspace identificationmethod and bees optimization algorithm

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 965-980 doi: 10.1007/s11709-019-0530-x

Abstract: In the present contribution, operational modal analysis in conjunction with bees optimization algorithmare utilized to update the finite element model of a solar power plant structure.The natural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspacestructure located in Shahid Chamran university of Ahvaz, Iran, to update parameters of its finite element modelThe results indicate that, bees optimization algorithm leads accurate results with fast convergence.

Keywords： operational modal analysis     solar power plant structure     multi-setup stochastic subspace     bees optimization    

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A novel ensemble model for predicting the performance of a novel vertical slot fishway

Aydin SHISHEGARAN, Mohammad SHOKROLLAHI, Ali MIRNOROLLAHI, Arshia SHISHEGARAN, Mohammadreza MOHAMMAD KHANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1418-1444 doi: 10.1007/s11709-020-0664-x

Abstract: We investigate the performance of a novel vertical slot fishway by employing finite volume and surrogate models. Multiple linear regression, multiple log equation regression, gene expression programming, and combinations of these models are employed to predict the maximum turbulence, maximum velocity, resting area, and water depth of the middle pool in the fishway. The statistical parameters and error terms, including the coefficient of determination, root mean square error, normalized square error, maximum positive and negative errors, and mean absolute percentage error were employed to evaluate and compare the accuracy of the models. We also conducted a parametric study. The independent variables include the opening between baffles ( ), the ratio of the length of the large and small baffles, the volume flow rate, and the angle of the large baffle. The results show that the key parameters of the maximum turbulence and velocity are the volume flow rate and .

Keywords： novel vertical slot fishway     parametric study     finite volume method     ensemble model     gene expression programming    

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Multi-objective dynamic optimization model for China’s road transport energy technology switching

Dan GAO , Zheng LI , Feng FU , Linwei MA

Frontiers in Energy 2009, Volume 3, Issue 3,   Pages 247-253 doi: 10.1007/s11708-009-0048-3

Abstract: However, one of the difficulties is to address the issue of multi-objective and conflicting constrainsIn this paper, a dynamic optimization model was established, which can be used to analyze the road transportenergy technology switching under multi-objective constrains.

Keywords： technology switching     transport energy system     multi-objective     CO2 mitigation    

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An integrated model for structure optimization and technology screening of urban wastewater systems

Yue HUANG,Xin DONG,Siyu ZENG,Jining CHEN

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1036-1048 doi: 10.1007/s11783-015-0792-z

Abstract: In this study, a multi-objective optimization model of an integrated urban wastewater system was developedThe model encompasses subsystems, such as a sewer system, stormwater management, municipal wastewaterThe developed model can be used to assist decision makers in the preliminary planning of system structureA benchmark city was constructed to illustrate the methods of multi-objective controls, highlight cost-effective

Keywords： urban wastewater system     integrated modeling     multi-objective optimization     non-dominated sorting genetic    

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Robust ensemble of metamodels based on the hybrid error measure

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 623-634 doi: 10.1007/s11465-021-0641-7

Abstract: In this work, a robust ensemble of metamodels (EMs) is proposed by combining three regression stand-alone

Keywords： metamodel     ensemble of metamodels     hybrid error measure     stochastic problem    

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Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 34-45 doi: 10.15302/J-FASE-2016084

Abstract: fuzzy linear multi-objective programming model was developed, which is capable of reflecting both uncertaintiesand multi-objective.In addition, a multi-objective fractional programming model for crop structure optimization was alsodeveloped to quantitatively express the multi-objective in one optimization model with the numeratorcrop planting structure optimization systems.

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and bound

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 649-665 doi: 10.1007/s11708-018-0548-0

Abstract: In addition to the four-objective optimization, three-objective, two-objective, and single-objectiveoptimizations have been done on the dish-Stirling model.The algorithm of multi-objective particle swarm optimization (MOPSO) with post-expression of preferencesis used for multi-objective optimizations while the branch and bound algorithm with pre-expression ofpreferences is used for single-objective and multi-objective optimizations.

Keywords： dish-Stirling     finite time model     branch and bound algorithm     multi-objective particle swarm optimization    

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Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 223-237 doi: 10.1007/s42524-020-0097-1

Abstract: Moreover, its current version, CPLEX 12.9, solves multi-objective optimization problems.This study presents a mixed-integer linear programming model for the multi-objective MMFBSP.We test our model by solving several problems from the literature.We also show how to solve multi-objective optimization problems by using CPLEX 12.9 and how computationMoreover, the linear programming-relaxation of the model, which takes seconds, can provide an excellent

Keywords： multi-objective optimization     finance-based scheduling     multi-mode project scheduling     mixed-integer linear    

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A naive optimization method for multi-line systems with alternative machines

Weichang KONG, Fei QIAO, Qidi WU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 377-392 doi: 10.1007/s11465-019-0544-z

Abstract: The scheduling of parallel machines and the optimization of multi-line systems are two hotspots in theConsequently, optimization of multi-line systems with alternative machines requires a simple mechanismTo define a general multi-line system with alternative machines, this study introduces the capabilitysystem constructed on the basis of the MiniFAB model.The method demonstrates a potential for utilization in multi-objective optimization.

Keywords： multi-line systems     alternative machines     feedback control     closed-loop optimization    

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Title Author Date Type Operation

A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Basedon Multi-Factor Analysis and a Multi-Model Ensemble

Hui Liu, Rui Yang, Zhu Duan, Haiping Wu

Journal Article

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

Xin ZHANG, Tao HUANG, Bo WU, Youmin HU, Shuai HUANG, Quan ZHOU, Xi ZHANG

Journal Article

Processing parameter optimization of fiber laser beam welding using an ensemble of metamodels and MOABC

Journal Article

Evaluation of the impact of multi-source uncertainties on meteorological and hydrological ensemble forecasting

Zhangkang Shu, Jianyun Zhang, Lin Wang, Junliang Jin, Ningbo Cui, Guoqing Wang, Zhouliang Sun, Yanli Liu, Zhenxin Bao, Cuishan Liu

Journal Article

Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

Journal Article

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Journal Article

Finite element model updating of a large structure using multi-setup stochastic subspace identificationmethod and bees optimization algorithm

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

A novel ensemble model for predicting the performance of a novel vertical slot fishway

Aydin SHISHEGARAN, Mohammad SHOKROLLAHI, Ali MIRNOROLLAHI, Arshia SHISHEGARAN, Mohammadreza MOHAMMAD KHANI

Journal Article

Multi-objective dynamic optimization model for China’s road transport energy technology switching

Dan GAO , Zheng LI , Feng FU , Linwei MA

Journal Article

An integrated model for structure optimization and technology screening of urban wastewater systems

Yue HUANG,Xin DONG,Siyu ZENG,Jining CHEN

Journal Article

Robust ensemble of metamodels based on the hybrid error measure

Journal Article

Uncertain and multi-objective programming models for crop planting structure optimization

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Multi-objective optimization in a finite time thermodynamic method for dish-Stirling by branch and bound

Mohammad Reza NAZEMZADEGAN, Alibakhsh KASAEIAN, Somayeh TOGHYANI, Mohammad Hossein AHMADI, R. SAIDUR, Tingzhen MING

Journal Article

Multi-objective optimization for the multi-mode finance-based project scheduling problem

Sameh Al-SHIHABI, Mohammad AlDURGAM

Journal Article

A naive optimization method for multi-line systems with alternative machines

Weichang KONG, Fei QIAO, Qidi WU

Journal Article