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Linear and Integer programming

Strategic directions in constraint programming

Strategic directions in constraint programming

... With t h i s (very successful) method, known as mixed integer programming, an application is modeled as a system of linear constraints on real and integer variables. The formulation[r] ...

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Integer Linear Programming for Sequence Problems: A general approach to reduce the problem size

Integer Linear Programming for Sequence Problems: A general approach to reduce the problem size

... present integer programming models for some variants of the farthest string ...variables and constraints is substantially less than that of the integer linear pro- gramming models known ...

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Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines

Hybrid Algorithms Based on Integer Programming for the Search of Prioritized Test Data in Software Product Lines

... using Integer Programming (IP) to generate a prioritized test ...an integer linear formulation and the second one is based on a integer quadratic (nonlinear) ...(PPGS) and ...

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Mixed integer linear programming models for minimizing ergonomic risk dispersion in an assembly line at the Nissan Barcelona factory

Mixed integer linear programming models for minimizing ergonomic risk dispersion in an assembly line at the Nissan Barcelona factory

... The purpose of the problems in the TSALB-erg family is to address assigning all tasks to workstations in order to achieve maximum efficiency regarding some of the consid- ered attributes, while all constraints imposed ...

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Reducing Losses Due to Lack of Supply in a Manufacturing Company Using a Mixed-Integer Linear Programming Model

Reducing Losses Due to Lack of Supply in a Manufacturing Company Using a Mixed-Integer Linear Programming Model

... principles and have similar characteristics to the company herein analyzed: that can have a warehouse, routers to deliver materials and frequent model changes in their production ...orders and the ...

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Effective formulation reductions for the quadratic assignment problem

Effective formulation reductions for the quadratic assignment problem

... Adams and Johnson [2] integer linear programming formulation of the QAP, which we call formulation ...13 and 23 instan- ces, respectively, compared to the 7 instances solved by ...

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PROMETHEE: A NEW APPROACH THROUGH FUZZY MATHEMATICAL PROGRAMMING

PROMETHEE: A NEW APPROACH THROUGH FUZZY MATHEMATICAL PROGRAMMING

... scorings and Integer Linear Programming in order to select the best alternative subject to a set of crisp constraints, which usually include some financial ...satisfactory, and ...

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Project Portfolio Selection with Scheduling: An Evolutionary Approach

Project Portfolio Selection with Scheduling: An Evolutionary Approach

... horizon and the negative impact of the project completion time on the total ...constraints and without exceeding the time horizon. A mixed integer linear programming model was ...

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Sustainability in the forest supply chain considering the efficient use of residues and byproducts

Sustainability in the forest supply chain considering the efficient use of residues and byproducts

... La cadena de suministro (CS) integra globalmente las unidades productivas con sus fuentes de suministros y sus clientes, y coordina todos los flujos de entrada y salida (materiales, información, finanzas, etc.) de tal ...

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Energy and reserve co-optimization of a combined cycle plant using mixed integer linear programming

Energy and reserve co-optimization of a combined cycle plant using mixed integer linear programming

... energy and reserve prices (see the baseline scenario in Table 1), revenues are almost null (see ...IncP and IncPs scenarios rise and fuel costs are almost covered by the day-ahead market, reserve ...

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Mixed Integer Linear Programming Based Implementations of Logical Analysis of Data and Its Applications.

Mixed Integer Linear Programming Based Implementations of Logical Analysis of Data and Its Applications.

... genes and sequencing the ...proteins and their structures to nd cures for human cancers and other major ...environmental and lifestyle ...

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Bilevel programming and applications

Bilevel programming and applications

... cost and security cost, return on investment (ROI) and return on attack ...structural and Birnbaum importance measures) and probabilistic anal- ysis (using attacker’s and security ...

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Lower and Upper Bounds for the Master Bay Planning Problem

Lower and Upper Bounds for the Master Bay Planning Problem

... 1 and 4) a preprocessing step is performed for making a suitable ...C and the set of locations ...1 and 2), where D is the total number of destination ...feet and 40 feet) must be loaded for ...

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Mixed Integer Quadratic Programming based predictive control for hydrogen production using renewable energy

Mixed Integer Quadratic Programming based predictive control for hydrogen production using renewable energy

... k and P ̅ i is its maximum power, while H ̂ i (k) is the predicted hydrogen production at the same ...i and P ̅ i are used to define the device performance, that is, the relationship between consumed power ...

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Conflict Avoidance: 0-1 linear models for Conflict Detection & Resolution

Conflict Avoidance: 0-1 linear models for Conflict Detection & Resolution

... Feron and Bicchi (2002) [20] propose two mixed integer models for CDR, one allows speed changes and the other one allows angle changes, both on the same ...0-1 linear model presented in ...

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Enabling Intelligent Organizations: An Electronic Institutions Approach for Building Agent Oriented Information Systems

Enabling Intelligent Organizations: An Electronic Institutions Approach for Building Agent Oriented Information Systems

... Label I Tag Initial Tag Final Tag Attributes Value Value R/O, Integer Date Date R/O, Integer Integer integer Combo R/O, Text R/O, Integer R/O. integer R/O. Double R/O. Dou[r] ...

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O uso do Mixed-Integer e Constraint Programming para a resolução do Job Shop Scheduling Problem

O uso do Mixed-Integer e Constraint Programming para a resolução do Job Shop Scheduling Problem

... Mixed-Integer Programming (MIP), que tem por finalidade encontrar a solução ótima do problema através da submissão de restrições as variáveis de decisão, em relação a uma função objetivo (no caso de ...

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Decision support methods for large-scale flexible transmission expansion planning

Decision support methods for large-scale flexible transmission expansion planning

... decisions and assesses not only the value of investments but also their potential for adapting to different ...potential and for which permits should be requested, analyze their main value drivers ...

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Case study: Three stages in the planning of postgraduate examinations through binary integer programming

Case study: Three stages in the planning of postgraduate examinations through binary integer programming

... CPU and 4 GB of RAM, together with the Windows 10 Home operating ...models and solved them using the exact branch and bound ...conditions and the runtimes used for stage in each ...

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TítuloA minimum weight FEM formulation for Structural Topological
Optimization with local stress constraints

TítuloA minimum weight FEM formulation for Structural Topological Optimization with local stress constraints

... mass, and the final design could be unfeasible in practice since no constraints are imposed on the maximum allowed ...result. And, on the other hand, numerical instabilities occur unless additional ...

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