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Integer Non Linear programming Model

A combination algorithm for selecting functional logistics service
vendors based on SQP and BNB

A combination algorithm for selecting functional logistics service vendors based on SQP and BNB

... an integer non-linear programming model to solve the vendor selection ...quadratic programming and branch and bound method. It can meet both non-linear ...

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Designing A Nonlinear Integer Programming Model For A Cross-Dock By A Genetic Algorithm

Designing A Nonlinear Integer Programming Model For A Cross-Dock By A Genetic Algorithm

... a non-linear integer programming model for a cross-dock problem that considers the total transportation cost of inbound and outbound trucks from an origin to a destination and the total ...

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Concise Integer Linear Programming Formulations for Dependency Parsing

Concise Integer Linear Programming Formulations for Dependency Parsing

... for non- projective dependency graphs can be achieved in polynomial time (McDonald et ...assumption. Non-local information, such as arity (or valency) and neighbouring dependencies, can be crucial to ...

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Resilient network design in a location-allocation problem with multi-level facility hardening

Resilient network design in a location-allocation problem with multi-level facility hardening

... location-allocation model is ...a non-linear integer programming model; then, its equivalent linear form is ...proposed model is conrmed in comparison to the ...

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Well-dispersed subsets of non-dominated solutions for MOMILP ‎problem

Well-dispersed subsets of non-dominated solutions for MOMILP ‎problem

... of non-dominated solutions of multiple objective mixed integer linear programming ...are integer it finds the whole set of efficient ...mixed integer linear ...

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Multiple Aspect Summarization Using Integer Linear Programming

Multiple Aspect Summarization Using Integer Linear Programming

... our model (and its lesser ...as non- native English speakers, did not answer the compre- hension questions correctly or took only a few min- utes to complete the task were ...

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On the assignment of non teaching tasks to reduce teachers' work pressure

On the assignment of non teaching tasks to reduce teachers' work pressure

... of non-teaching tasks to the ...the non-teaching tasks is not only a matter of taking into consideration the ...performing non-teaching ...mixed-integer linear programming ...

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Incremental Integer Linear Programming for Non projective Dependency Parsing

Incremental Integer Linear Programming for Non projective Dependency Parsing

... In this paper we present a method which extends the applicability of ILP to a more complex set of problems. Instead of adding all the constraints we wish to capture to the formulation, we first solve the program with a ...

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A Non-linear Integer Bi-level Programming Model for Competitive Facility Location of Distribution Centers

A Non-linear Integer Bi-level Programming Model for Competitive Facility Location of Distribution Centers

... mathematical programming; more information about numerous metaheuristic methods proposed to solve bi-level mathematical problems can be found in the work of El-Ghazali ...

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Building Teams of Experts using Integer Linear Programming

Building Teams of Experts using Integer Linear Programming

... the model non-linear, we used the standard way of decomposing multiplication of variables to the above set of ...to linear equations using standard technique introducing the variable Y iujvp ...

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A Mixed Integer Linear Programming Model to Regulate the Electricity Sector

A Mixed Integer Linear Programming Model to Regulate the Electricity Sector

... This paper introduces the concept of market design and make the distinction between the three different levels of market design such as industry structure, wholesale and marketplace design. We present a ...

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Integer Linear Programming for Discourse Parsing

Integer Linear Programming for Discourse Parsing

... annotation model or as a guide to learning discourse structure (Afan- tenos et ...use non-projective trees to guide discourse parsing. But non-projective trees cannot always re- flect the structure ...

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A new method to determine a well-dispersed subsets of non-dominated vectors for MOMILP ‎problem

A new method to determine a well-dispersed subsets of non-dominated vectors for MOMILP ‎problem

... objective integer linear programs (MOILP) are special cases of multiple criteria decision making ...mixed integer linear ...well-dispersed non-dominated vectors of multiple objective ...

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An Integer Programming Model for the KenKen Problem

An Integer Programming Model for the KenKen Problem

... an integer programming model for solving ...giving linear constraints for sum, difference, product, and ratio ...by linear constraints. We give a non-standard way of using prime ...

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Long term replacement planning for Royal Schiphol Group : an Integer Linear Programming model

Long term replacement planning for Royal Schiphol Group : an Integer Linear Programming model

... account non-stationary events. Examples of such non-stationary are varying use and deterioration of assets or unexpected maintenance opportunities that allow for executing maintenance at lower ...

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Wage Differences, Bonus and Team Performances: A parametric non linear integer programming model

Wage Differences, Bonus and Team Performances: A parametric non linear integer programming model

... Kesenne model is the “normalization” and the interpretation of his ...a non-integer one, such as ...consistent model with more teams that participate in a tournament, with integer ...

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Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model

Recognizing Authority in Dialogue with an Integer Linear Programming Constrained Model

... This task involves defining the role of each contri- bution based on its function (Stolcke et al., 2000). We know that there are interesting correlations be- tween these acts and other factors, such as learning gains ...

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GENETIC ALGORITHM: APPLICATIONS TO LINEAR AND INTEGER PROGRAMMING PROBLEMS

GENETIC ALGORITHM: APPLICATIONS TO LINEAR AND INTEGER PROGRAMMING PROBLEMS

... Feng in 2008 applied genetic algorithm to solve a linear programming problem in which the constraint coefficients were not precisely defined. He used extension principle, interval arithmetic, and  -cut ...

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Grammatical Error Correction Using Integer Linear Programming

Grammatical Error Correction Using Integer Linear Programming

... labeling model to detect various ...channel model, where a predened generative model produces correct sen- tences and errors are added through a noise ...

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Integer Linear Programming in NLP   Constrained Conditional Models

Integer Linear Programming in NLP Constrained Conditional Models

... Coreference Resolution using Integer Programming. In Proceedings of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics - Human Language Technology Conference ...

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