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Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linearprogramming model

Frontiers of Engineering Management   Pages 452-461 doi: 10.1007/s42524-022-0209-1

Abstract: This study combines multi-regional input–output (MRIO) model with linear programming (LP) model to exploreThe proposed MRIO–LP model considers the inter-relationship among various sectors and

Keywords： CO2 emissions     demand side regulation     multi-regional input–output model     linear programmingmodel    

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Systems Analysis and Constitution of Linear Programming Model for the Earth-rock Allocation System of

Cao Shengrong,Wang Xianjia,Shen Mingliang

Strategic Study of CAE 2003, Volume 5, Issue 7,   Pages 72-76

Abstract: According to it, Linear Programming Model is constituted.The calculating result by the model is verified in real work. It s proved economic and feasible.

Keywords： water resources and hydropower projects     earth-rock     allocation     systems analysis     linear programming    

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Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Strategic Study of CAE 2009, Volume 11, Issue 2,   Pages 70-74

Abstract: This paper develops a linear programming method with LR type fuzzy numbers, which aims to estimate activity

Keywords： network scheduling     fuzzy linear programming     activity    

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A refined risk explicit interval linear programming approach for optimal watershed load reduction with

Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 129-140 doi: 10.1007/s11783-014-0683-8

Abstract: To enhance the effectiveness of watershed load reduction decision making, the Risk Explicit Interval LinearProgramming (REILP) approach was developed in previous studies to address decision risks and systemTherefore, a refined REILP model is proposed in this study to further enhance the decision support capabilityThe proposed model was illustrated using a case study that deals with uncertainty-based optimal loadThe results of the standard and refined REILP model were compared under 11 aspiration levels.

Keywords： refined risk explicit interval linear programming     decision making     objective-constraint uncertainty tradeoff    

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A maximum reliable network interdiction model with limited resources

Zhao Jia and Yu Hua

Strategic Study of CAE 2015, Volume 17, Issue 1,   Pages 137-142

Abstract:

This paper proposes a maximum reliable network interdiction model， which is to maximize the reliability， the number of paths between any given two nodes is exponential to the size of this graph， so this modelbilevel integer program by finding out the relationship between the lower level integer program and its linear

Keywords： interdiction model；k-reliability； duality； linear programming relaxation； complementary slackness    

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A Novel MILP Model Based on the Topology of a Network Graph for Process Planning in an Intelligent Manufacturing Article

Qihao Liu, Xinyu Li, Liang Gao

Engineering 2021, Volume 7, Issue 6,   Pages 807-817 doi: 10.1016/j.eng.2021.04.011

Abstract: nondeterministic polynomial-time (NP)-hard problem and, as existing mathematical models are not formulated in linearThis paper proposes a novel mixed-integer linear programming (MILP) mathematical model by consideringFurthermore, the proposed model can be programmed in commonly-used mathematical programming solvers,To verify the effectiveness and generality of the proposed model, five groups of numerical experimentsThe results show that the proposed model can solve PP problems effectively and can obtain better solutions

Keywords： Process planning     Network     Mixed-integer linear programming     CPLEX    

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General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 15-24 doi: 10.1007/s11465-009-0015-z

Abstract: such as ARMA, AR, and MA are founded on the normality and stationarity of a system and expressed by a lineardifference equation; therefore, they are strictly limited to the linear system.This paper proposes a general expression for linear and nonlinear auto-regressive time series modelsThe model simulation and experiments show that the GNAR model can accurately approximate to the dynamicThe proposed GNAR model is flexible and effective.

Keywords： linear and nonlinear     autoregressive model     system identification     time series analysis    

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Optimal Antibody Purification Strategies Using Data-Driven Models Article

Songsong Liu, Lazaros G. Papageorgiou

Engineering 2019, Volume 5, Issue 6,   Pages 1077-1092 doi: 10.1016/j.eng.2019.10.011

Abstract: The piecewise linear regression modeling method is adapted due to its simplicity and better predictionTwo alternative mixed-integer nonlinear programming (MINLP) models are proposed to minimize the totalThese MINLP models are then reformulated as mixed-integer linear programming (MILP) models using linearization

Keywords： Antibody purification     Multiscale optimization     Antigen-binding fragment     Mixed-integer programming     Data-driven model     Piecewise linear regression    

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Comparison between linear and non-linear forms of pseudo-first-order and pseudo-second-order adsorption

Junxiong LIN , Lan WANG ,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 3,   Pages 320-324 doi: 10.1007/s11783-009-0030-7

Abstract: The best-fit equations of linear and non-linear forms of the two widely used kinetic models, namely pseudo-first-orderThe results show that the non-linear forms of pseudo-first-order and pseudo-second-order models weremore suitable than the linear forms for fitting the experimental data.The experimental kinetics may have been distorted by linearization of the linear kinetic equations, andIn addition, the Δ(%) method for error analysis may be better to determine the best-fitting model

Keywords： adsorption     pseudo-first order     pseudo-second order     kinetic model     linear method     non-linear method    

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Study on the Model and Its Visualization for Dynamic Allocation of Earth

Hu Chengshun,Zheng Denghua,Zhang Jin,Hong Wen,Li Mingchao

Strategic Study of CAE 2003, Volume 5, Issue 12,   Pages 73-79

Abstract: Meanwhile, Linear Programming is introduced to solve the problem.In order to strengthen the commonness and agility of model, some human interventions are in an in-depthand particular consideration in building the mathematics model.

Keywords： rock-fill dam construction     earth allocation     dynamic allocation     linear programming     visualization    

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A new approach for scheduling of multipurpose batch processes with unlimited intermediate storage policy

Nikolaos Rakovitis, Nan Zhang, Jie Li, Liping Zhang

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 4,   Pages 784-802 doi: 10.1007/s11705-019-1858-4

Abstract: number of mathematical models have been developed for such scheduling, they may still lead to large modelThe proposed unit-specific event-based model is the most efficient since it both requires a smaller number

Keywords： scheduling     multipurpose batch processes     simultaneous transfer     mixed-integer linear programming    

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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: optimization were developed, including an interval linear programming model, an inexact fuzzy chance-constrainedprogramming (IFCCP) model and an inexact fuzzy linear programming (IFLP) model.sustainable development of crop planting structure planning, a fuzzy-optimization-theory-based fuzzy linearmulti-objective programming model was developed, which is capable of reflecting both uncertainties andIn addition, a multi-objective fractional programming model for crop structure optimization was also

Keywords： crop planting structure     optimization model     uncertainty     multi-objective    

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Model reduction techniques for dynamics analysis of ultra-precision linear stage

Xuedong CHEN, Zhixin LI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 64-70 doi: 10.1007/s11465-009-0009-x

Abstract: Spring-damping elements are used to simplify the internal interaction in the proposed finite element (FE) modelof an ultra-precision linear stage., which can be generalized to the development and dynamics characteristic study of a complex system model

Keywords： dynamics analysis     air-bearing     linear stage     reduction    

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Mathematical model and manufacture programming of loxodromic-type normal circular-arc spiral bevel gear

Zhenyun DUAN, Houjun CHEN, Zhilan JU, Jian LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 312-321 doi: 10.1007/s11465-012-0308-5

Abstract: Based on the principle of molding-surface conjugation, the study develops a mathematical model for the

Keywords： loxodrome     circular-arc tooth profile     Wildhaber-Novikov (W-N) gear     spiral bevel gear    

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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: 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.Moreover, 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 linearprogramming     CPLEX    

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Title Author Date Type Operation

Cutting CO emissions through demand side regulation: Implications from multi-regional input–output linearprogramming model

Journal Article

Systems Analysis and Constitution of Linear Programming Model for the Earth-rock Allocation System of

Cao Shengrong,Wang Xianjia,Shen Mingliang

Journal Article

Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Journal Article

A refined risk explicit interval linear programming approach for optimal watershed load reduction with

Pingjian YANG,Feifei DONG,Yong LIU,Rui ZOU,Xing CHEN,Huaicheng GUO

Journal Article

A maximum reliable network interdiction model with limited resources

Zhao Jia and Yu Hua

Journal Article

A Novel MILP Model Based on the Topology of a Network Graph for Process Planning in an Intelligent Manufacturing

Qihao Liu, Xinyu Li, Liang Gao

Journal Article

General expression for linear and nonlinear time series models

Ren HUANG, Feiyun XU, Ruwen CHEN

Journal Article

Optimal Antibody Purification Strategies Using Data-Driven Models

Songsong Liu, Lazaros G. Papageorgiou

Journal Article

Comparison between linear and non-linear forms of pseudo-first-order and pseudo-second-order adsorption

Junxiong LIN , Lan WANG ,

Journal Article

Study on the Model and Its Visualization for Dynamic Allocation of Earth

Hu Chengshun,Zheng Denghua,Zhang Jin,Hong Wen,Li Mingchao

Journal Article

A new approach for scheduling of multipurpose batch processes with unlimited intermediate storage policy

Nikolaos Rakovitis, Nan Zhang, Jie Li, Liping Zhang

Journal Article

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

Mo LI,Ping GUO,Liudong ZHANG,Chenglong ZHANG

Journal Article

Model reduction techniques for dynamics analysis of ultra-precision linear stage

Xuedong CHEN, Zhixin LI

Journal Article

Mathematical model and manufacture programming of loxodromic-type normal circular-arc spiral bevel gear

Zhenyun DUAN, Houjun CHEN, Zhilan JU, Jian LIU

Journal Article

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

Sameh Al-SHIHABI, Mohammad AlDURGAM

Journal Article