Linear programming models
Fuzzy Transportation Linear Programming Models based on L R Fuzzy Numbers
... Transportation models play an important role in logistics and supply chain management for reducing cost and improving ...transportation linear programming models are developed: one with ...
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Linear Programming Models based on Omega Ratio for the Enhanced Index Tracking Problem
... a Linear Programming model. We further extend the models to include real features, such as a cardinality constraint and buy-in thresholds on the investments, obtaining Mixed Integer Linear ...
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The usefulness and efficacy of linear programming models as farm management tools
... Describing a grazing system as a set of mathematical equations is not an easy task, and the diagrammatic representation of a grazed livestock production system (Figure 1) prepared by the GSL model developers (Anderson ...
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Creating a GUI Solver for Linear Programming Models in MATLAB
... Linear programming (LP) is a one of the tool that solves optimization ...a linear function is maximized (or minimized) subject to some linear ...
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Linear programming models for development planning in Northern Ireland
... The potential usefulness of such a planning model is demonstrated by the rich range of economic results it provides, not only on the level of maximum consumption, but also for each indus[r] ...
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Revenue Optimization in Tourism and Hotel Ind...
... Revenue management is the collection of strategies and tactics firms use to scientifically manage demand for their products and services. The practice has grown from its origins in airlines to its status today as a ...
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Reoptimizations in linear programming
... In linear programming problems occur sizes that we have considered ...the linear programming models, where it appears the need to develop mathematical methods to allow a dynamic ...
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Constructing Mixed-integer Programming Models whose Feasible Region is Exactly the Set of All Valid Differential Characteristics of SIMON
... integer linear programming (MILP) models whose feasible regions are exactly the sets of all possible differential (or linear) characteristics for a wide range of block ciphers is ...These ...
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A Comparative Study on Harvesting Plan Predicting Insurance with Two-Stage Stochastic Analysis
... use Linear Programming for planning at its ...Stochastic Programming studies these types of optimization techniques with risk consideration for better decisions in every step of our ...
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Duality in linear programming
... The equilibrium theorem is important for two reasons. Firstly, it allows one to verify a primal solution’s ability to be optimal even if one does not have the optimal dual solution. Then, even more remarkably, it leads ...
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LINEAR PROGRAMMING AND DYNAMICS
... Linear programming is one of the most powerful and popular tools of mathematical model- ing, covering vast areas of human activity, including the economy, the environment, technology, complex networks, ...
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A Review of Quantitative Analysis (QA) in Production Planning Decisions Using the Linear Programming Model
... the linear programming model to the Physical and Environmental Sciences, was able to establish the efficacy of applying linear programming (LP) in max- imizing total ...the linear pro- ...
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The Effect of Realistic Mathematic Education on Students’ Conceptual Understanding of Linear Progamming
... in linear programming was that student could not give a complete explanation on definition of linear programming and mention relevant examples weakly, not been able to analyze and categor- ize ...
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A New Approach To Solve Fuzzy Fractional Assignment Problem By Using Taylor’s Series Method
... An assignment problem is a special type of linear programming problem where the objective is to assign n number of persons to n jobs at a minimum cost (time). Zadeh [18] introduced the concept of fuzzy sets ...
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Optimal Patient-centered Response to Acute Physiological Deterioration of Hospitalized Patients.
... Integrating EMRs, expert opinion and analytical decision models has the potential to personalize acute medical care. Our model captures the relationship between patient-specific characteristics, resuscitation ...
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Intelligent Diagnosis System for Breast Cancer Thermal Image Using Optimized GA-SVM and Ann
... Genetic programming approach for classifying breast ...Genetic Programming in this paper is more efficient than other machine learning algorithms because the commercial GP software Discipulus uses automatic ...
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Prevention of Voltage Instability by Using FACTS Controllers in Power Systems: A Literature Survey
... evolutionary programming technique for optimal location and parameters settings of UPFCs to maximize the system laudability subject to the transmission line capability and specified voltage ...
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USING LINEAR PROGRAMMING IN SOLVING THE PROBLEM OF SERVICES COMPANY’S COSTS
... Linear programming has several applications in military, government, industry and civil ...nonlinear programming problem, discrete programming problems, chemicals, optimal control problems and ...
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CONTROLLING THE FORCING OF THE LINEAR TRANSPORT EQUATION TO MEET AIR QUALITY NORMS AT EVERY POINT
... the linear constraints guarantee the fulfilment of the air quality norm at every point of the control zone and any moment of the control time ...quadratic programming problem is solved by the algorithm of ...
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Integer Linear Programming in NLP Constrained Conditional Models
... Conditional Models along with his student Scott Yih, presented in CoNLLʼ04, and since then has worked on learning and inference issue within this framework as well as on applying it for several NLP problems, ...
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