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integer linear programming method

Binary Integer Linear Programming Method for Optimal Placement of PMU Considering Single Line or PMU Outage

Binary Integer Linear Programming Method for Optimal Placement of PMU Considering Single Line or PMU Outage

... In day to day world, fault occurrence in power system is very common. Hence the PMU can become faulty in a bus system. To overcome this problem we should consider the PMU outage case. The observability for each bus in ...

6

Integer Linear Programming for Discourse Parsing

Integer Linear Programming for Discourse Parsing

... Features for training the local model and getting scores for the decoders were extracted for every pair of EDUs. Features concerned each EDU individ- ually as well as the pair itself. We used obvious, surface features ...

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GENETIC ALGORITHM: APPLICATIONS TO LINEAR AND INTEGER PROGRAMMING PROBLEMS

GENETIC ALGORITHM: APPLICATIONS TO LINEAR AND INTEGER PROGRAMMING PROBLEMS

... a linear programming problem in which the constraint coefficients were not precisely ...penalty method for constraint ...defuzzified linear programming ...

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Exact, Polynomial, Determination Solution Method of the Subset Sum Problem

Exact, Polynomial, Determination Solution Method of the Subset Sum Problem

... 2 enter to NP class. This class is called NP hard class. The knapsack problem is one of the classic problems in the linear integer programming problems. Up to present time, it was not possible to ...

6

A cutting-plane method for contiguity-constrained spatial aggregation

A cutting-plane method for contiguity-constrained spatial aggregation

... exact method for area aggregation and compare it with a state-of-the-art method for the same ...Our method results in a substantial decrease of the running time and, in particular, allowed us to ...

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Word Sense Disambiguation as an Integer Linear Programming Problem

Word Sense Disambiguation as an Integer Linear Programming Problem

... small, as in our case. 1 We also implemented a pruning variant of our ilp method, which removes from the graph of Fig. 1 any sense s ij whose WordNet gloss contains none of the other word occurrences being ...

8

Grammatical Error Correction Using Integer Linear Programming

Grammatical Error Correction Using Integer Linear Programming

... ear programming (ILP). Variables of ILP are indi- cators of possible grammatical error corrections, the objective function aims to select the best set of corrections, and the constraints help to enforce a valid ...

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

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

... mixed integer linear programming ...are integer it finds the whole set of efficient ...proposed method only a mixed integer linear programming problem is solved and ...

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A PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS

A PROCEDURE FOR SOLVING INTEGER BILEVEL LINEAR PROGRAMMING PROBLEMS

... purely integer linear BLPP, a branch and bound type of enumerative solution algorithm has been developed by Moore and Bard ...mixed integer BLPP based on Benders decomposition ...

5

Building Teams of Experts using Integer Linear Programming

Building Teams of Experts using Integer Linear Programming

... The dynamics of group formation is studied by authors Lars et. al. [4], where they consider three parameters: membership, growth, and evolution, for analyzing the evolvement of large groups in an organization/community. ...

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Multiple Aspect Summarization Using Integer Linear Programming

Multiple Aspect Summarization Using Integer Linear Programming

... The bigram approach is a powerful method for identifying important concepts within the document cluster. It works particularly well in the sentence ex- traction paradigm. However, additional elements are known to ...

11

Optimal Placement of PMU for Power System Observability

Optimal Placement of PMU for Power System Observability

... presented method in this paper is programmed on MATLAB and binary integer linear programming problem has been solved in order to find the best PMU placement with complete Power System ...

5

Multi lingual Dependency Parsing with Incremental Integer Linear Programming

Multi lingual Dependency Parsing with Incremental Integer Linear Programming

... By enforcing arity constraints we could either turn wrong labels/heads into right ones and improve ac- curacy or turn right labels/heads into wrong ones and degrade accuracy. For the test set the number of im- provements ...

5

An Improved Decomposition Technique for Solving Integer Linear Programming Problems

An Improved Decomposition Technique for Solving Integer Linear Programming Problems

... solving Linear Programming Problems (LPPs) as well as Integer Linear Programming Problems ...Bound method, Cutting Plane method ...Mathematical Programming Language ...

5

An Alternative Method to Find the Solution of Zero One Integer Linear Fractional Programming Problem with the Help of -Matrix

An Alternative Method to Find the Solution of Zero One Integer Linear Fractional Programming Problem with the Help of -Matrix

... III. Z ERO -O NE I NTEGER L INEAR F RACTIONAL P ROGRAMMING ALGORITHM This algorithm consists of three phases. In first phase promising variables are arranged, second phase arranged variables are allowed to enter into the ...

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Determination of Possible Wetland Mitigation Sites Using NC-Crews and an Integer Linear Programming Formulation

Determination of Possible Wetland Mitigation Sites Using NC-Crews and an Integer Linear Programming Formulation

... Because of the varying opinions of wetland functions and assessment methods, this project used only the NC-CREWS system to drive the models. This system was developed for a specific geographic region to which this model ...

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Optimal Pmu Placement Using Linear Integer Programming Technique

Optimal Pmu Placement Using Linear Integer Programming Technique

... search method is implemented to find the minimum number of PMUs to make the system ...annealing method is used to randomly choose the placement sets to the test for observability at each step of the ...

5

Global optimization of mixed-integer polynomial programming problems: A new method based on Grobner Bases theory

Global optimization of mixed-integer polynomial programming problems: A new method based on Grobner Bases theory

... polynomial programming (MIPP), where the objective function and constraints are limited to ...not linear, the system of equations becomes non-linear and generally, it is not possible to solve them ...

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Driver scheduling by integer linear programming: the TRACS II approach

Driver scheduling by integer linear programming: the TRACS II approach

... mathematical programming approach to be used to solve the driver scheduling problem, heuristics are necessary to cut down the problem ...generation method implicitly considers many more valid shifts than ...

9

Semantic Role Labeling Via Integer Linear Programming Inference

Semantic Role Labeling Via Integer Linear Programming Inference

... principled method to combine machine learning techniques with linguis- tic and structural constraints by explicitly incorpo- rating inference into the decision ...

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