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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 IntervalLinear Programming (REILP) approach was developed in previous studies to address decision risks and systemBy introducing a tradeoff factor ( ) into the total risk function, the refined REILP can lead to differentThe results of the standard and refined REILP model were compared under 11 aspiration levels.preserve the same constraint risk as that in the standard REILP but with lower objective risk, which

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

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An interval joint-probabilistic programming method for solid waste management: a case study for the city

Yi XU, Shunze WU, Hongkuan ZANG, Guiguang HOU

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 2,   Pages 239-255 doi: 10.1007/s11783-013-0536-x

Abstract: In response to these challenges, an interval joint-probabilistic mixed-integer programming (IJMP) methodIn the IJMP, joint probabilistic constraints are introduced into an interval-parameter mixed-integerprogramming framework, such that uncertainties presented in terms of interval values and random variablesexamined, which can facilitate in-depth analyses of tradeoffs among economic objective and system-failure risk

Keywords： interval analysis     mixed integer     joint probabilistic constraint     planning     uncertainty     waste management    

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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 explore

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

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

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Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

Frontiers of Engineering Management   Pages 67-81 doi: 10.1007/s42524-022-0240-2

Abstract: post-disruption response strategy optimization problem, this study proposes a novel two-stage stochastic programmingTo enhance the robustness of the response strategy obtained, the conditional value at risk (CVaR) criterionis utilized to reduce the operational risk, and robust constraints based on the scenario-based uncertaintyAn equivalent tractable mixed-integer linear programming reformulation is further derived by linearizing

Keywords： logistics network design     post-disruption response strategy     two-stage stochastic programming     conditionalvalue at risk     robust constraint    

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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: The increasing demand of goods, the high competitiveness in the global marketplace as well as the need to minimize the ecological footprint lead multipurpose batch process industries to seek ways to maximize their productivity with a simultaneous reduction of raw materials and utility consumption and efficient use of processing units. Optimal scheduling of their processes can lead facilities towards this direction. Although a great number of mathematical models have been developed for such scheduling, they may still lead to large model sizes and computational time. In this work, we develop two novel mathematical models using the unit-specific event-based modelling approach in which consumption and production tasks related to the same states are allowed to take place at the same event points. The computational results demonstrate that both proposed mathematical models reduce the number of event points required. The proposed unit-specific event-based model is the most efficient since it both requires a smaller number of event points and significantly less computational time in most cases especially for those examples which are computationally expensive from existing models.

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

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The Research and Application of Interval Numbers of Three Pa rameters

Hu Qizhou,Zhang Weihua, Yu Li

Strategic Study of CAE 2007, Volume 9, Issue 3,   Pages 47-51

Abstract:

To evaluate the cost risk and the schedule risk of the spaceflight project

Keywords： spaceflight project     risk     cost     schedule     correlation coefficient    

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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.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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An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit metal mine

Zunaira Asif, Zhi Chen

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1156-x

Abstract: metal mines contribute toward air pollution and without effective control techniques manifests the riskThe model is formulated for decision makers to select the least costly treatment method using linearprogramming with a defined objective function and multi-constraints.Furthermore, an integrated fuzzy based risk assessment approach is applied to examine uncertainties andThe risk level is divided into three types (loose, medium and strict) using a triangular fuzzy membership

Keywords： Air pollution     Decision analysis     Linear programming     Mining     Optimization     Fuzzy     Monte Carlo    

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A regularization scheme for explicit level-set XFEM topology optimization

Markus J. GEISS, Jorge L. BARRERA, Narasimha BODDETI, Kurt MAUTE

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 153-170 doi: 10.1007/s11465-019-0533-2

Abstract: introduces a novel LS regularization approach based on a signed distance field (SDF) which is applicable to explicitNumerical examples for problems modeled by linear elasticity, nonlinear hyperelasticity and the incompressible

Keywords： level-set regularization     explicit level-sets     XFEM     CutFEM     topology optimization     heat method     signed distance    

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Explicit optimization method for cutting-screw-thread on the basis of dual-RSM

Zhengbao LEI, Shubin WEI, Qingyun DU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 423-430 doi: 10.1007/s11465-010-0109-7

Abstract: To obtain the explicit function for optimizing the cutting-screw-thread (CST) in crash, the simulationsThird, the explicit resultant peak acceleration function of six parameters by using RSM again is obtainedA dual RSM-based explicit method is proposed.

Keywords： vehicle engineering     crash     safety     explicit method     response surface method    

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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: bilevel 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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An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 307-316 doi: 10.1007/s11708-013-0269-3

Abstract: In this paper an interval type-2 fuzzy logic controller (IT2FLC) was proposed for thyristor controlledFor controller design, memberships of system variables were represented using interval type-2 fuzzy sets

Keywords： power system oscillations     thyristor controlled series capacitor (TCSC)     type-2 fuzzy logic system     interval    

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A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 237-249 doi: 10.1631/FITEE.1500198

Abstract: We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzyIn our model, experts are asked to express their preferences using linguistic terms characterized by interval

Keywords： Group decision making (GDM)     Interval type-2 fuzzy sets (IT2 FSs)     Feedback mechanism    

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Title Author Date Type Operation

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

An interval joint-probabilistic programming method for solid waste management: a case study for the city

Yi XU, Shunze WU, Hongkuan ZANG, Guiguang HOU

Journal Article

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

Journal Article

Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

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

Two-stage stochastic programming with robust constraints for the logistics network post-disruption response

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

The Research and Application of Interval Numbers of Three Pa rameters

Hu Qizhou,Zhang Weihua, Yu Li

Journal Article

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

Sameh Al-SHIHABI, Mohammad AlDURGAM

Journal Article

An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit metal mine

Zunaira Asif, Zhi Chen

Journal Article

A regularization scheme for explicit level-set XFEM topology optimization

Markus J. GEISS, Jorge L. BARRERA, Narasimha BODDETI, Kurt MAUTE

Journal Article

Explicit optimization method for cutting-screw-thread on the basis of dual-RSM

Zhengbao LEI, Shubin WEI, Qingyun DU

Journal Article

A maximum reliable network interdiction model with limited resources

Zhao Jia and Yu Hua

Journal Article

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Journal Article

A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Journal Article