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Recent progress on the study of distributed economic dispatch in smart grid: an overview Review Articles

Guanghui Wen, Xinghuo Yu, Zhiwei Liu,wenguanghui@gmail.com,x.yu@rmit.edu.au,zwliu@hust.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000205

Abstract: review the recent results on this topic and subsequently categorize them into distributed discrete- and continuous-time

Keywords： Distributed economic dispatch     Distributed optimization     Smart grid     Continuous-time optimization algorithm     Discrete-time optimization algorithm    

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Global Optimization of Nonlinear Blend-Scheduling Problems

Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec

Engineering 2017, Volume 3, Issue 2,   Pages 188-201 doi: 10.1016/J.ENG.2017.02.005

Abstract: In this work, a global optimization algorithm is proposed to solve a previously published continuous-timeThe model includes blend recipe optimization, the distribution problem, and several important operationalBy increasing the number of partitions and reducing the domain of the variables, the algorithm is ableThe algorithm is compared to two commercial global solvers and two heuristic methods by solving fourResults show that the proposed global optimization algorithm performs on par with commercial solvers

Keywords： Global optimization     Nonlinear gasoline blending     Continuous-time scheduling model     Piecewise linear relaxations    

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Ant colony optimization in continuous problem

YU Ling, LIU Kang, LI Kaishi

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 459-462 doi: 10.1007/s11465-007-0079-6

Abstract: Based on the analysis of the basic ant colony optimization and optimum problem in a continuous space,an ant colony optimization (ACO) for continuous problem is constructed and discussed.The algorithm is efficient and beneficial to the study of the ant colony optimization in a continuous

Keywords： beneficial     algorithm     efficient     continuous     ACO    

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Manufacturing system modeling and performance evaluation based on improved stochastic statechart

ZHANG Guojun, HE Jiabing, ZHU Haiping, CHEN Xuan

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 453-458 doi: 10.1007/s11465-007-0078-7

Abstract: Per formance data can be obtained by using a continuous-time Markov chain, which is transformed fromthe modeling and performance evaluation process and the results are useful to the configuration and optimization

Keywords： performance evaluation     different     configuration     improved     continuous-time    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management   Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presentedthe computation results of the numerical experiments are provided to verify the effectiveness of the algorithm

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: adequately describe the process dynamics across its operating range while remaining amenable to fast optimizationThis work articulates an integrated system identification procedure for deriving black-box nonlinear continuous-timeon simulated data and integrated into a nonlinear model predictive controller for a highly nonlinear continuous

Keywords： nonlinear model predictive control     black-box modeling     continuous-time system identification     machine    

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Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Frontiers of Medicine 2023, Volume 17, Issue 1,   Pages 68-74 doi: 10.1007/s11684-022-0955-9

Abstract: Most information used to evaluate diabetic statuses is collected at a special time-point, such as takingnew parameter for continuously evaluating personal clinical statuses, the newly developed technique “continuousBy calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropyanalysis of the CGM data, the study showed for the first time that the complexity of glucose time series

Keywords： complexity of glucose time series     continuous glucose monitoring     impaired glucose regulation     insulin    

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Galerkin approximationwith Legendre polynomials for a continuous-time nonlinear optimal control problem Article

Xue-song CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1479-1487 doi: 10.1631/FITEE.1601101

Abstract: investigate the use of an approximation method for obtaining near-optimal solutions to a kind of nonlinear continuous-time

Keywords： Generalized Hamilton-Jacobi-Bellman equation     Nonlinear optimal control     Galerkin approximation     Legendre polynomials    

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

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: One of those analyses is the finite time thermodynamic analysis by which the total power of the systemcan be obtained by calculating the process time.In addition to the four-objective optimization, three-objective, two-objective, and single-objectiveThe 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 of

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

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Data-driven approach to solve vertical drain under time-dependent loading

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 696-711 doi: 10.1007/s11709-021-0727-7

Abstract: Currently, the vertical drain consolidation problem is solved by numerous analytical solutions, such as time-dependentThus, in this study, a new hybrid model based on deep neural networks (DNNs), particle swarm optimizationand DNN–GA prediction models with three different radial drainage patterns in the smear zone under time-dependent

Keywords： vertical drain     artificial neural network     time-dependent loading     deep learning network     genetic algorithm     particle swarm optimization    

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Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 130-142 doi: 10.1007/s11465-010-0011-3

Abstract: There are three difficulties in topology optimization of continuum structures. 1) The topology underTo overcome difficulties above, four measures are adopted. 1) Topology optimization model is establishedby independent continuous mapping (ICM) method. 2) Based on the von Mises strength theory, all elements

Keywords： independent continuous mapping (ICM) method     global stresses constraints     topology optimization     continuum    

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Solution and stability of continuous-time cross-dimensional linear systems

Qing-le Zhang, Biao Wang, Jun-e Feng,zqlcfc03@163.com,wangbiao9956@163.com,fengjune@sdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900504

Abstract: We investigate the solution and stability of continuous-time linear systems (CCDLSs) with dimension

Keywords： Cross-dimensional     V-addition     V-product     Asymptotic stability     Stabilization    

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationdesign results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization(HBO) algorithm.

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Damage identification in connections of moment frames using time domain responses and an optimization

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 851-866 doi: 10.1007/s11709-021-0739-3

Abstract: In this study, an optimization-based method for joint damage identification of moment frames using thetime-domain responses is introduced.Then, the problem of joint damage identification is converted to a standard optimization problem.The optimization problem is solved by an improved differential evolution algorithm (IDEA) for identifying

Keywords： damage identification     beam-to-column connection     time-domain response     optimization    

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Non-invasive continuous blood pressure monitoring: a review of current applications

Elena Chung, Guo Chen, Brenton Alexander, Maxime Cannesson

Frontiers of Medicine 2013, Volume 7, Issue 1,   Pages 91-101 doi: 10.1007/s11684-013-0239-5

Abstract: limited ability of the current prevalent technology (oscillometric blood pressure monitoring) to offer continuousblood pressure monitoring technologies, and especially the creation of those offering non-invasive but continuous

Keywords： non-invasive blood pressure monitoring     continuous blood pressure monitoring     invasive blood pressure monitoringáz technique     arterial tonometry     pulse transit time    

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Title Author Date Type Operation

Recent progress on the study of distributed economic dispatch in smart grid: an overview

Guanghui Wen, Xinghuo Yu, Zhiwei Liu,wenguanghui@gmail.com,x.yu@rmit.edu.au,zwliu@hust.edu.cn

Journal Article

Global Optimization of Nonlinear Blend-Scheduling Problems

Pedro A. Castillo Castillo Pedro M. Castro,Vladimir Mahalec

Journal Article

Ant colony optimization in continuous problem

YU Ling, LIU Kang, LI Kaishi

Journal Article

Manufacturing system modeling and performance evaluation based on improved stochastic statechart

ZHANG Guojun, HE Jiabing, ZHU Haiping, CHEN Xuan

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system

Journal Article

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated

Journal Article

Galerkin approximationwith Legendre polynomials for a continuous-time nonlinear optimal control problem

Xue-song CHEN

Journal Article

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

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

Journal Article

Data-driven approach to solve vertical drain under time-dependent loading

Journal Article

Independent continuous and mapping method of structural topology optimization based on the global stress

Yunkang SUI, Jili FENG, Hongling YE, Xirong PENG,

Journal Article

Solution and stability of continuous-time cross-dimensional linear systems

Qing-le Zhang, Biao Wang, Jun-e Feng,zqlcfc03@163.com,wangbiao9956@163.com,fengjune@sdu.edu.cn

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Journal Article

Damage identification in connections of moment frames using time domain responses and an optimization

Journal Article

Non-invasive continuous blood pressure monitoring: a review of current applications

Elena Chung, Guo Chen, Brenton Alexander, Maxime Cannesson

Journal Article