integer linear programming problem
Well-dispersed subsets of non-dominated solutions for MOMILP problem
... are integer it finds the whole set of efficient ...mixed integer linear programming problem is solved, while Sylva and Crema’s method [11] needs to solve two problems in each iteration ...
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Optimal Placement of PMU for Power System Observability
... binary integer linear programming problem has been solved in order to find the best PMU placement with complete Power System observability and minimum installation ...
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Fuzzy variable linear programming with fuzzy technical coefficients
... To the best of our knowledge, all the above authors considered either the technological coefficients or the variable as fuzzy, but not both. However in real-life decision making problems, it is usual that coefficients of ...
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Integer programming with a fixed number of variables
... It was conjectured [5], [10] that for any fixed value of « there exists a polynomial algorithm for the solution of the integer linear programming problem.. In the present paper we prove [r] ...
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Vol 3, No 8 (2012)
... multiobjective integer linear fractional programming problem with random parameters in the objective functions (SMOILFP) is ...this problem into a deterministic version and thus the ...
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A two phase approach to the shifts and breaks design problem using integer linear programming
... design problem to a flow problem as described in ...flow problem can be used to compute optimal staffing with weighted cost on the overstaffing and ...the problem. The authors still consider a ...
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Exact, Polynomial, Determination Solution Method of the Subset Sum Problem
... Problem ( ) KP is the simplest non-linear integer programming model with binary variables, only one single constraint and only positive coefficients. Nevertheless, adding the integrality ...
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A Fuzzy Multi Objective Programming Model for Power Generation and Transmission Expansion Planning Problem
... However, the literature review reveals that there is no research work applying the fuzzy mathematical modeling approach to take care of inherent imprecision in most of the input parameters of such integrated problems. ...
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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 ...mixed integer linear programming (MOMILP) ...
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A combination algorithm for selecting functional logistics service vendors based on SQP and BNB
... an integer non-linear programming model in solving functional logistics service vendors selection ...quadratic programming and branch and bound ...the problem, it will produce more ...
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Two-Level Evolutionary Multi-Objective Optimization of a District Heating System with Distributed Cogeneration
... the problem at city districts level, in [6] a Mixed Integer Linear Programming (MILP) model is used to determine the type, number and capacity of equipment in CHCP systems installed in a ...
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Optimal Allocation of Stratified Sampling Design Using Gradient Projection Method
... the problem of finding an optimal allocation of sample sizes in stratified sampling design to minimize the cost ...Non linear programming problem (NLPP), when a non integer solution is ...
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Reduction and Analysis of a Max Plus Linear System to a Constraint Satisfaction Problem for Mixed Integer Programming
... This research develops a solution method for project scheduling represented by a max-plus-linear (MPL) form. Max-plus-linear representation is an ap- proach to model and analyze a class of discrete-event ...
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Building Teams of Experts using Integer Linear Programming
... This problem where we seek to discover a team of experts such that all the skills required for a project are covered is called Team Formation Problem(TFP) Cluster Hiring Problem involves the hiring ...
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An Integer Programming Model for the KenKen Problem
... In puzzles of size at most 9 × 9, if a product cage consists of two cells and the target number is composite then at most 2 different factorizations are possible. It is easy to verify it for all possible composite target ...
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Grammatical Error Correction Using Integer Linear Programming
... Consider an input sentence The data is simi- lar with test set. taken from (Dahlmeier and Ng, 2012a). The gold-standard edits are with → to and ɛ → the. That is, the grammatically correct sen- tence should be The data is ...
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Concise Integer Linear Programming Formulations for Dependency Parsing
... those that assume each dependency decision is in- dependent modulo the global structural constraint that dependency graphs must be trees. Such mod- els are commonly referred to as edge-factored since their parameters ...
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An Optimization Model for Multi-period Multi-Product Multi-objective Production Planning
... mixed integer linear programming (MILP) optimization model to solve the partner selection, and production planning problem in the design of manufacturing chains operating under a multi- ...
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Vol 2, No 5 (2011)
... bi-level integer linear fractional programming problem with individual chance constraints ...this problem into a deterministic bi-level integer linear fractional ...
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Designing A Nonlinear Integer Programming Model For A Cross-Dock By A Genetic Algorithm
... 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 cost of ...
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