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0-1 programming model

Based on Premium Channels Package Optimum Combination of 0 1 Programming Model Design

Based on Premium Channels Package Optimum Combination of 0 1 Programming Model Design

... RFML Model and Pay-TV channel promotion strategy research, build an optimization ...RFML model about user viewing behavior and build 0-1 programming ...dynamic programming ...

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Study on coloring method of airport flight-gate allocation problem

Study on coloring method of airport flight-gate allocation problem

... multi-objective 01 programming model was ...multi-objective 01 programming model is transformed into single-objective 01 programming ...the ...

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Efficient Strict Solution Methods for 0-1 Random Fuzzy Programming Problems Based on the Necessity Measure

Efficient Strict Solution Methods for 0-1 Random Fuzzy Programming Problems Based on the Necessity Measure

... solve 0-1 relaxation problem (19) and obtain its optimal solution h , we obtain an optimal solution more efficiently than previous parametric approaches due to not using branch-bound method every value of ...

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FRAUD DETECTION IN CARD NOT PRESENT TRANSACTIONS BASED ON BEHAVIORAL PATTERN

FRAUD DETECTION IN CARD NOT PRESENT TRANSACTIONS BASED ON BEHAVIORAL PATTERN

... In this work, the problem of sectorization is formulated as 0-1 quadratic programming subject to linear constraints. We have used the Genetic Algorithm approach to solve the proposed model. In ...

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A 0-1 Random Fuzzy Programming Problem Based on the Degree of Necessity and the Efficient Solution Method

A 0-1 Random Fuzzy Programming Problem Based on the Degree of Necessity and the Efficient Solution Method

... random 0-1 programming ...fuzzy programming model based on possibilistic ...selection model including random fuzzy ...general 0-1 random fuzzy programming ...

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DETECTING MOTION BY COMBINING THE STRUCTURE TEXTURE IMAGE DECOMPOSITION AND 
SPACE TIME INTEREST POINTS

DETECTING MOTION BY COMBINING THE STRUCTURE TEXTURE IMAGE DECOMPOSITION AND SPACE TIME INTEREST POINTS

... Many important computational problems may be formulated as constraint satisfaction problems (CSP). In this paper, we propose a new approach to solve the binary CSP problems using the continuous Hopfield networks (CHN). ...

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Nurse Scheduling Based on Branch- and- Bound Algorithm

Nurse Scheduling Based on Branch- and- Bound Algorithm

... Mathematical Programming, Meta-Heuristic Methods and Constraint Satisfaction ...optimization model that we are interested in is a 0-1 Integer Linear Programming ...

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A Feature Model of Actor, Agent, Functional, Object, and Procedural Programming Languages

A Feature Model of Actor, Agent, Functional, Object, and Procedural Programming Languages

... each programming language considered here are Erlang R13B03, Haskell 2010 (as implemented by the Glasgow Haskell Compiler version ...systems programming language, several important features not included in ...

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Solving the Three Dimensional Palet Paking Problem Using Mixed 0   1 Model

Solving the Three Dimensional Palet Paking Problem Using Mixed 0 1 Model

... Gehring et al.’s paper [9] presents a heuristic for packing non-identical items within a container. They, like George and Robinson [4], utilized the idea of packing sections of the container across the full width and ...

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An Algorithm of 0 1 Knapsack Problem  Based on Economic Model

An Algorithm of 0 1 Knapsack Problem Based on Economic Model

... dynamic programming algorithm, e-approximation algorithm [1-4] and improved swarm algorithm, ant co- lony algorithm, fireflies swarm algorithm ...mathematical model, the complexity and the ...

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Hybrid stop schedule of urban rail train

Hybrid stop schedule of urban rail train

... established 0-1 integer programming model for skip-stop operation based on minimizing the general travel time of all passengers, tabu search is used to solve the problem (Zheng, Song, He & ...

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A case study on the application of 0-1 goal programming : nurse scheduling

A case study on the application of 0-1 goal programming : nurse scheduling

... The analysis of a problem involves many steps. The formulation phase is the most crucial, because if the problem is not set up correctly, the solution found may be the correct answer to the wrong problem. An operational ...

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Inferring morphological rules from small examples using 0/1 linear programming

Inferring morphological rules from small examples using 0/1 linear programming

... Silfverberg and Hulden (2017) observe that in the Universal Dependencies project (Nivre et al., 2017), each word is annotated with its lemma and features, but not segmented. They study the prob- lem of finding a ...

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Tabu Search Based Interactive Fuzzy Stochastic Multi Level 0 1 Programming

Tabu Search Based Interactive Fuzzy Stochastic Multi Level 0 1 Programming

... constrained programming [31], stochastic constraints are transformed into determinis- tic ...optimization model [32,33], the minimization of each stochastic objec- tive function is replaced with the ...

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1.
													Programming skill classification model: ffnn approach

1. Programming skill classification model: ffnn approach

... A Feed Forward Neural Network is created with number of layers 2 and number of input neurons 3, hidden neurons 20 and output neurons 5 having bias connection [1;1], weights for input connection: [1; 0], ...

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Intelligent Selection Recommendation Algorithm in the

Intelligent Selection Recommendation Algorithm in the

... uses 0-1 integer programming model to give the minimal courses and the maximum credits; the comprehensive evaluation of curriculum based on considering the students' learning ability and ...

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Modified Modeling of the Heart by Applying Nonlinear Oscillators and Designing Proper Control Signal

Modified Modeling of the Heart by Applying Nonlinear Oscillators and Designing Proper Control Signal

... mathematical model of the heart rhythm by considering dif- ferent states of Vanderpol nonlinear ...oscillator model is designed in order to reproduce time series of action potential of natural pacemakers ...

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Two-Level 0-1 Programming Using Genetic Algorithms and a Sharing Scheme Based on Cluster Analysis

Two-Level 0-1 Programming Using Genetic Algorithms and a Sharing Scheme Based on Cluster Analysis

... Regarding research utilizing GAs for two-level program- ming problems, Anandalingam et al. [1] have proposed a method for obtaining the Stackelberg solution for two- level linear programming problems. We ...

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The noisy veto voter model: a recursive distributional equation on [0, 1]

The noisy veto voter model: a recursive distributional equation on [0, 1]

... It is convenient to work on a tree with infinite branching factor and then think of the random tree of the previous paragraph as being embedded within it. An initial ancestor (in level zero), which we denote ∅, gives ...

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