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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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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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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: The 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 membershipFuzzy logic is then used to identify environmental risk through stochastic simulated cumulative distribution

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

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Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Strategic Study of CAE 2001, Volume 3, Issue 3,   Pages 52-55

Abstract: A fuzzy geometric programming model of power supply radius under the fuzzy environment, including problemsof soft constraints and fuzzy functions with fuzzy coefficients, is built in order to determine theother static and dynamic optimum mathematical models such as controlling models and classical geometric programming

Keywords： fuzzy geometric programming     economic power supply radius     optimum seeking     transformer substations capacity    

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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 system

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

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Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 65-70

Abstract:

By analyzing certain fuzzy models for production scheduling, the author proposes a general novel fuzzificationmethod based on fuzzy programming for batching production processes and offers a modeling method withfuzzy coefficients.Two fuzzy algorithms based on genetic algorithm, i. e. , fuzzy simulation and SFA algorithm, are adoptedto solve the fuzzy model.

Keywords： production scheduling     fuzzy programming     batching production processes     membership function    

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Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 90-99 doi: 10.1007/s11709-016-0363-9

Abstract: In this paper, considering the experimental results, three different models of multiple linear regressionmodel (MLR), artificial neural network (ANN), and adaptive neuro-fuzzy inference system (ANFIS) areestablished, trained, and tested within the Matlab programming environment for predicting the 28 daysreliably evaluate the compressive strength of concrete with different mix designs, however, multiple linear

Keywords： concrete     28 days compressive strength     multiple linear regression     artificial neural network     ANFIS     sensitivity    

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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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Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 65-69

Abstract:

Based on the concepts of the fuzzy weighted distance and membership degree, the fuzzy optimum selectiondynamic programming technique that can be used for the optimization of multi-objective and multi-stagesystems are developed by means of the combination of fuzzy optimum selection theory with dynamic programming

Keywords： multi-stage     multi-objective optimization     fuzzy optimum selection     dynamic programming     membership degree    

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A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 49-53

Abstract: In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implementedfirst to achieve the distribution information of original samples represented with fuzzy membership

Keywords： two-dimensional linear discriminant analysis(2DLDA)     fuzzy two-dimensional linear    

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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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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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Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energy

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 412-425 doi: 10.1007/s11708-014-0315-9

Abstract: This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic

Keywords： component     distributed energy resources     fuzzy optimization     loss reduction     interactive honey bee matingoptimization (IHBMO)     voltage deviation reduction     stochastic programming    

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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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Prediction of cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 149-162 doi: 10.1007/s11708-017-0482-6

Abstract: In this paper, two artificial intelligence (AI) techniques—adaptive network based fuzzy inference system(ANFIS) and multi gene genetic programming (MGGP) are used to model Indian coal-fired power plants with

Keywords： carbon capture and storage     power plants     artificial intelligence     genetic programming     neuro fuzzy    

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Title Author Date Type Operation

Linear programming method with LR type fuzzy numbersfor network scheduling

Gao Peng,Feng Junwen

Journal Article

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

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

Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

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

Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Journal Article

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

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

Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Journal Article

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

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

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

Sameh Al-SHIHABI, Mohammad AlDURGAM

Journal Article

Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energy

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Journal Article

A maximum reliable network interdiction model with limited resources

Zhao Jia and Yu Hua

Journal Article

Prediction of cost and emission from Indian coal-fired power plants with CO

Naushita SHARMA, Udayan SINGH, Siba Sankar MAHAPATRA

Journal Article