Integer linear programming
Learning oncogenetic networks by reducing to mixed integer linear programming.
... Cancer can be a result of accumulation of different types of genetic mutations such as copy number aberrations. The data from tumors are cross-sectional and do not contain the temporal order of the genetic events. ...
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... mixed integer programming for large scale problems to ind the ideal solution in a supply ...binary integer programming and stochastic ...mixed integer linear programming ...
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An Integer Programming Formulation of the Minimum Common String Partition Problem.
... We consider the problem of finding a minimum common string partition (MCSP) of two strings, which is an NP-hard problem. The MCSP problem is closely related to genome comparison and rearrangement, an important field in ...
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Multi level Programming in Multi Site Production Systems Analysis
... integer linear programming (MILP) model for general two-phase aggregate production planning ...mixed integer non- linear formulation for a two-echelon supply network ...
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SOLVING BIPOLAR MAX-TP EQUATION CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION PROBLEMS
... Numerous MODM models have been proposed in the literature for reaching the best compromise between conflicting objectives [5], [6], [20]. The technique for order of preference by similarity to ideal solution (TOPSIS) ...
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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
... the linear programming subproblem is solved via the Simplex ...on integer linear programming aimed at handling the constraints imposed on the machines used for manufacturing ...inverse ...
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Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility
... mixed integer linear programming formulation and determines location-allocation of DCs, production planning in plant, inventory level of products in each DC, and efficient volume flexibility in each ...
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Reserve services provision by demand side resources in systems with high renewables penetration using stochastic optimization
... Contingency reserves; Demand response; Industrial demand response; Load following reserves; Load recov- ery effect; Mixed-integer linear programming; Multi-objective optimization; Power [r] ...
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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); the ...
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Two Mathematical Modeling Approaches for Integrating Production and Transportation Decisions in the Process Industry
... mixed integer linear programming problem that coordinates the production planning and transportation issues surrounding a specialty chemical ...of integer variables ...restrict integer ...
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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
... 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 ...and ...
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Contribuições para eficiente de chaves e restauração automática de redes de distribuição de energia elétrica
... da aplicação do algoritmo MOSP e os resultados apresentados em ( ABIRI-JAHROMI et al. , 2012 ) em que técnicas de programação inteira linear mista ( Mixed-Integer Linear Programming , MI[r] ...
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Polynomial Penalty Method for Solving Linear Programming Problems
... solving linear programming problems with the essential property that each member is convex polynomial order-even when viewed as a function of the ...
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Locating on-street loading and unloading spaces by means of mixed integer programming
... (2012), a general methodology capable of simulating urban freight transport should consist of a set of models which (1) forecast how the key activities of land use, the use of transport[r] ...
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A Comparison Among Simple Algorithms for Linear Programming
... This work presents a comparison between a family of simple algorithms for linear programming and the optimal pair adjustment algorithm. This family originated from the generalization of the idea presented ...
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AIMMS Modeling Guide - Linear Programming Tricks
... equality constraint are unknown-but-bounded. Such an inequality in terms of uncertainty intervals is not a deterministic linear programming constraint. Any particular selection of values for these uncertain ...
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Resource-oriented Programming Based on Linear Logic
... The aim of our research is to describe solving of large scientific problems by computers as constructive logical reasoning in some logical formal system over type theory. Predicates we consider as predicament-forming ...
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Lat. Am. j. solids struct. vol.13 número2
... The larger value for the arrays of m makes it possible to find the global optimum point more accurately. However, it increases the computational time. It’s suitable to choose the value of its arrays according to the ...
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MATHEMATICAL PROGRAMMING ELEMENTS: ITS APPLICATION TO THE OPTIMUM POWER FLOW PROBLEM
... The simplex algorithm stands out as one of the greatest contributions to the mathematical programming of the twentieth century. It is an extremely effi- cient general algorithm, as mentioned by [6], for the ...
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