linear programming relaxation
Incomplete MaxSAT Solving by Linear Programming Relaxation and Rounding
... Solution approaches for combinatorial optimization problems can be divided into com- plete and incomplete approaches. Given enough resources, the complete approaches find an optimal solution to a problem and prove its ...
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A single machine scheduling problem with availability constraints and sequence-dependent setup costs
... the linear programming relaxation bound and in terms of the time needed to obtain the integer optimum when we use model (1)–(12) in conjunction with providing to the solver the solution obtained by ...
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On Reoptimizing Multi-Class Classifiers
... integer linear programming relaxation, a sum-of-linear fractional functions (SOLFF) formulation, and a quadratic programming ...
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Intuitionistic Fuzzy Multi–Objective Structural Optimization using Non-linear Membership Functions
... Atanassov[3,8-10] introduced Intuitionistic fuzzy set (IFS) which is one of the generalizations of fuzzy set theory characterized by a membership function, a non-membership function and a hesitancy function. In fuzzy ...
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Satisfiability Based Algorithms for Pseudo Boolean Optimization Using Gomory Cuts and Search Restarts
... Cutting planes are a well-known, widely used, and very effective technique for Integer Linear Programming (ILP). In contrast, the utilization of cutting planes in Pseudo- Boolean Optimization (PBO) is ...
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THE CENTRAL CURVE IN LINEAR PROGRAMMING
... A main theme in this paper is that projective algebraic geometry provides an alternative view on optimality and duality in optimization, as well as powerful tools for analyzing interior point methods. This parallels the ...
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Some contributions to the theory of mathematical programming
... of linear programming to problems of business and industry, computer codes for the Simplex and other methods have been written on most of the intermediate and large general purpose electronic computers ...
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An extended branch and bound algorithm for linear bilevel programming
... For linear bilevel programming, the branch and bound algorithm is the most successful algorithm to deal with the complementary constraints arising from Kuhn-Tucker ...a linear bilevel ...
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Linear Programming Sensitivity Analysis
... Engineering Systems Analysis for Design Richard de Neufville, Joel Clark and Frank R.. Field Massachusetts Institute of Technology LP Sensitivity Analysis Slide 1 of 22.[r] ...
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A new relaxation and quick bounds for linear programming problem
... new relaxation is proposed for linear programming ...this relaxation very quick bounds are found for the problem and the associated integer programming restriction which can be used in ...
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7 Linear programming —Part A
... Linear equations need to be in the form y = mx + c to draw them on a graphics calculator. The linear equation y = 2x − 3 may be graphed immediately, but the equation 3x − 4y = 18 may be changed as follows. ...
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Linear Fractional Programming Procedure for Multi objective linear programming problem in Agricultural System
... fractional programming problem. A variety of applications of fractional programming can be seen in a survey article Schaible ...which linear fractional programming problem can be optimized by ...
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A Parametric Linearization Approach for Solving Zero One Nonlinear Programming Problems
... Integer programming is one of the most interesting and difficult research areas in mathematical programming and operations ...to linear integer programming, linear 0-1 ...
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Application of Fuzzy-Parametric Linear Programming Problem
... fuzzy linear programming from other hand the company expects wide occur change in the prices of raw materials, then we use parametric linear ...
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Linear Programming Formulation of kSAT
... papers Linear programming formulation of the vertex colouring problem and Linear programming formula- tion of the set partitioning problem give linear programming formulations ...
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Linear Programming for Optimal Diet Decision Problem
... Abstract: The aim of the present research paper is to use linear programming to find the Minimize the cost of Human nutrition (vitamins and minerals) to fulfill the daily requirements of age 25-50 years. ...
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The Kth-best approach for linear bilevel multifollower programming with partial shared variables among followers
... a linear BLMFP problem where K (≥ 2 ) followers are involved and there are shared partial decision variables, but separate objective functions and constraint functions among the followers is defined as follows ...
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A New Approach for Solving Fully Fuzzy Bilevel Linear Programming Problems
... bilevel programming is a hierarchical optimization problem involving two levels wherein the upper level constraint region is im- plicitly specified by the lower level ...bilevel programming problem has ...
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Solving the Binary Linear Programming Model in Polynomial Time
... binary linear programming model in polynomial ...binary linear programming problem is transformed into a convex quadratic programming ...quadratic programming problem is then ...
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A. Value Chain Management
... Abstract— The aim of this paper is to improve performance of a tea company using value chain analysis. The company value chain activities were investigated. Analysis of current production practice was analyzed using a ...
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