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Linear integer programming model

AIMMS Modeling Guide - Integer Programming Tricks

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 ...

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A multi-objective possibilistic programming approach for locating distribution centers and allocating customers demands in supply chains

A multi-objective possibilistic programming approach for locating distribution centers and allocating customers demands in supply chains

... stochastic programming models (Logendran & Terrell, 1988; Sherali & Rizzo, 1991; Hwang, 2002, Miranda & Garrido, ...fuzzy programming (Darzentas, 1987; Rao & Saraswati, ...goal ...

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Pesqui. Oper.  vol.31 número3

Pesqui. Oper. vol.31 número3

... applied linear programming to estimate the direct costs this phenomenon incurred for ...macroeconomic model to explore the indirect impact of the drought on other sectors of the ...used ...

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en 0104 530X gp 0104 530X842 16

en 0104 530X gp 0104 530X842 16

... mixed integer programming for large scale problems to ind the ideal solution in a supply ...two-stage model for strategic planning of the supply chain based on binary integer ...

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AIMMS Modeling Guide - Linear Programming Tricks

AIMMS Modeling Guide - Linear Programming Tricks

... conventional linear programming ...for linear programming models, it is often advisable to use this format instead of solving a nonlinear or integer programming model ...

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Metadata of the chapter that will be visualized in SpringerLink

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 ...

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Learning oncogenetic networks by reducing to mixed integer linear programming.

Learning oncogenetic networks by reducing to mixed integer linear programming.

... to model cancer progression, we propose Progression Networks, a special case of Bayesian networks, that are tailored to model disease ...Mixed Integer Linear Programming ...

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Resumo Este trabalho apresenta um modelo de Programação Linear Inteira Mista para o Problema de Sequenciamento em Projetos com Restrição de Recursos (PSPRR) e propõe a elaboração de um software para efetuar a interface entre o usuário e o modelo. O objeti

Resumo Este trabalho apresenta um modelo de Programação Linear Inteira Mista para o Problema de Sequenciamento em Projetos com Restrição de Recursos (PSPRR) e propõe a elaboração de um software para efetuar a interface entre o usuário e o modelo. O objeti

... Mixed Integer Linear Programming Model for Resource Constrained Project Scheduling Problem (RCPSP) and proposes the development of a software to make the interface between the user and the ...

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An exact optimization approach for personnel scheduling problems in the call center industry

An exact optimization approach for personnel scheduling problems in the call center industry

... mathematical programming approach generally achieve the lowest cost ...the linear integer programming models have a huge number of variables and researchers end up using decomposition ...

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J. Microw. Optoelectron. Electromagn. Appl.  vol.12 número2

J. Microw. Optoelectron. Electromagn. Appl. vol.12 número2

... novel integer linear programming (ILP) formulations, where the first model deals with the Grooming, Routing, Wavelength Assignment, and Carrier Ethernet Interface Allocation Problem (GRWA-I); ...

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Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

... production-distribution model for the dynamic location-allocation problem considering volume flexibility is an effective response to the need of SCM considered to increase the ability of system against ...

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Quality management systems selection using FAHP and mixed integer programming

Quality management systems selection using FAHP and mixed integer programming

... 0-1 linear programming method, the optimum mix for selection of managerial systems is ...selection model in the form of a hierarchical model and he determined criteria and sub-criteria for ...

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A Simplex Based Parametric Programming Method for the Large Linear Programming Problem

A Simplex Based Parametric Programming Method for the Large Linear Programming Problem

... coefficient programming for large linear programming (LP) ...parametric programming methodologies are based on the assumption that the optimal solution is ...Large linear ...

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An Integer Programming Formulation of the Minimum Common String Partition Problem.

An Integer Programming Formulation of the Minimum Common String Partition Problem.

... In this paper, we present an Integer Linear Programming (ILP) formulation for the MCSP problem. In particular, we use a graph mapping that was presented in our prior work [4] to solve the MCSP ...

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A note on reversibility and Pell equations

A note on reversibility and Pell equations

... a linear transformation L ∈ SL(2, Z) such that det (L) = −1), then f is never R- reversible for every linear involution R ∈ Diff µ 1 (T 2 ...a linear involution R determines a generalized Pell ...

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An Integer Programming-based Local Search for Large-scale Maximal Covering Problems

An Integer Programming-based Local Search for Large-scale Maximal Covering Problems

... customers. Integer programming has been applied to solve MCP due to its linear nature [1, ...11]. Integer programming guarantees an optimal ...

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GLPK – GNU Linear Programming Kit

GLPK – GNU Linear Programming Kit

... A AMPL é um acrônimo para “A Mathematical Programming Language” é um linguagem algébrica de modelagem para descrever e resolver problemas de modelagem matemática. O AMPL suporta dezenas de solvers: CPLEX, MINOS, ...

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Fuzzy optimization of primal-dual pair using piecewise linear membership functions

Fuzzy optimization of primal-dual pair using piecewise linear membership functions

... Although linear membership functions permit an easy conversion of the FLP problem into a crisp linear programming problem, yet in many cases membership functions are best represented by ...

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Fuzzy Approaches for Multiobjective Fuzzy Random Linear Programming Problems Through a Probability Maximization Model

Fuzzy Approaches for Multiobjective Fuzzy Random Linear Programming Problems Through a Probability Maximization Model

... stochastic linear program- ming problems, but also multiobjective fuzzy random linear programming problems through a probability maximization ...maximization model, it is necessary for the ...

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