Programming Model
DISTRIBUTED APPROACH to WEB PAGE CATEGORIZATION USING MAPREDUCE PROGRAMMING MODEL
... MapReduce programming model to automatically categorize the web ...MapReduce programming model and the proposed web page categorization ...MapReduce programming model. Here the ...
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A Mixed Integer Programming Model Formulation for Solving the Lot-Sizing Problem
... dynamic programming approach was ...Dynamic programming approach was proposed to minimize the total cost, including manufacturing, remanufacturing, holding and substitution ...integer programming ...
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A new mixed-integer programming model for harvest scheduling subject to maximum area restrictions
... integer programming approaches have been proposed for this area restriction ...integer programming model with a polynomial number of variables and ...The model was tested with both real and ...
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Development of Mathematical Programming Model for Cable Logging System Location
... mathematical programming model for optimal location of cable logging in wood ...developed model was efficient, but needs to be improved in order to ensure greater accuracy in wood extraction over ...
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Assessing the prediction capacity of an agricultural supply positive mathematical programming model
... mathematical programming model (PMP) for the Alentejo region are ...The model is calibrated with prices and agricultural subsidies of the base year (2000), using the specification rules of the cost ...
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Network inference : extension of linear programming model for time-series data
... to model the genes/proteins behavior along time and from that infer the respective network; a particular method is the S-System formalism within the Biochemical Systems Analysis [76, ...
124
DESIGN OF MICROIRRIGATION SYSTEMS IN SLOPING LANDS USING LINEAR PROGRAMMING
... Linear programming (LP) models have been used to design permanent irrigation sys- tems (PLEBAN & AMIR, 1981; ORON & KARMELI, 1981; ORON & WALKER, 1981; BENAMI & OFEN, 1984; SAAD et ...linear ...
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A MapReduce Construct for Yap Prolog
... a programming model developed by Google in the early 2000’s [7] aimed at pro- cessing large amounts of ...functional programming languages such as ...
133
A multi-objective possibilistic programming approach for locating distribution centers and allocating customers demands in supply chains
... possibilistic programming model to locate distribution centers (DCs) and allocate customers' demands in a supply chain network design (SCND) ...possibilistic programming approach is proposed to solve ...
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GPUbased backtracking strategies for solving permutation combinatorial problems
... parallel model consists of evaluating and expanding nodes in paral- lel (GENDRON; CRAINIC, 1994; CRAINIC; CUN; ROUCAIROL, ...node-oriented model is also called master/slave ...master/slave model is ...
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Fuzzy Goal Programming for Aggregate Production and Logistics Planning
... goal programming model for aggregate production and logistics planning with interval demand and uncertain production capacity is ...the model; profit goal and change of workforce level ...proposed ...
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Application of Fuzzy Mathematical Approach for Cell Formation and Layout Design with Uncertain Condition
... linear programming approach is taken to solve an extended mathematical linear programming model to handle two important problems in cellular manufacturing systems simultaneously: Cell formation and ...
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Stackelberg Game in a Supply Chain Led by Retailers in a Fuzzy Environment
... chance-constrained programming model—and the related models of optimistic and pessimistic values—as the expected value model of a two-echelon supply chain with a dominant ...
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A 0-1 Random Fuzzy Programming Problem Based on the Degree of Necessity and the Efficient Solution Method
... fuzzy programming model based on possibilistic ...selection model including random fuzzy ...fuzzy programming problem at this ...0-1 programming problem maximizing the objective ...
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Metadata of the chapter that will be visualized in SpringerLink
... mathematical programming model is a set of constraints over the variables of the model subjected to a maximization or minimization of an objective variable also defined in terms of the model ...
12
Evaluating patent portfolios by means of multicriteria analysis
... As a major form of technological innovation, the value of patent right has been examined using various criteria. The scientific linkage between backward citations and patent value has been introduced by Narin et al. ...
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AIMMS Modeling Guide - Integer Programming Tricks
... which is defined as the sum of functions of scalar variables. Such a func- tion has the advantage that nonlinear terms can be approximated by piecewise linear ones. Using this technique, it may be possible to generate an ...
14
Effects of Using Model Robots in the Education of Programming
... In Programming Model Robots subject we try to follow the principles, methods and working of constructive teaching ...solve programming problems and tasks in groups of two-three members cooperation ...
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A generic simulation cell method for developing extensible, efficient and readable parallel computational models
... parallel programming by allowing model developers to select which simulation variables of, ...domain-decomposed model to transfer between processes via a Message Passing Interface (MPI) li- ...
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Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility
... Abstract: This paper investigates the problem of designing an integrated production-distribution system which supports strategic and tactical decision levels in supply chain management. An important aspect of this ...
6