Non-linear Mixed Integer Programming
Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review
... the Mixed Integer Linear Program (MILP) and Mixed Integer Non- Linear Program (MINLP) ...as linear, whereas, in the case of MINLP, they should be considered as a ...
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A Mixed Integer Linear Programming Model to Regulate the Electricity Sector
... Based on the above considerations, we proceed with the simulations results. For the purpose of our study we implement a Monte Carlo analysis, assuming a ± 20% deviation over its reference prices (Dagoumas and Polemis, ...
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Constructing Mixed-integer Programming Models whose Feasible Region is Exactly the Set of All Valid Differential Characteristics of SIMON
... constructing mixed- integer linear programming (MILP) models whose feasible regions are exactly the sets of all possible differential (or linear) characteristics for a wide range of ...
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Volume 4, Issue 1 (2018)
... mathematical programming techniques for the assessment of biomass supply ...the mixed integer non-linear programming model (MINLP) that eliminated the deadlock in biomass supply ...
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A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty
... a mixed-integer mathematical model for solving the manufacturing problems based on imprecise information and dynamic ...novel integer non-linear mathematical model based on fuzzy ...
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Survey on Different Techniques in Supply Chain Management
... as linear, integer, and mixed-integer programming) frequently fail to find optimal solutions for non-convex and/or large-scale models whereas metaheuristics are efficient ...
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Two-Level Evolutionary Multi-Objective Optimization of a District Heating System with Distributed Cogeneration
... a Mixed Integer Non Linear Programming (MINLP) problem has generally to be solved for obtaining the optimal synthesis and operation of the integrated system, with a high computational ...
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A new method to determine a well-dispersed subsets of non-dominated vectors for MOMILP problem
... objective mixed integer linear programming (MOMILP) problem is an important research area as many practical situations require discrete representations by in- teger variables and many decision ...
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Well-dispersed subsets of non-dominated solutions for MOMILP problem
... are integer it finds the whole set of efficient ...one mixed integer linear programming problem is solved, while Sylva and Crema’s method [11] needs to solve two problems in each ...
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Two-Group MultiODA: A Mixed-Integer Linear Programming Solution with Bounded M
... Prior mixed-integer linear programming procedures for obtaining two-group multivariable optimal discriminant analysis (Multi- ODA) models require estimation of the value of a parameter, ...of ...
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Generalized Mixed Integer Rounding Valid Inequalities for Mixed Integer Programming Problems
... for integer programming in ...the linear programming relaxation, ...has non-integer value in the optimal solution of the ...
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On the assignment of non teaching tasks to reduce teachers' work pressure
... the mixed integer linear programming model gives improvements on all three performance areas in comparison with the manually con- structed task assignment of CSG ...the mixed ...
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Short-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach
... novel mixed integer linear preemptive goal programming model is developed in which several complementary objectives with lower relative importances are also ...incorporated. ...
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A Novel Method for Designing and Optimization of Networks
... In recent years, there has been a lot of interest in the application of simulated annealing (SA) and tabu search (TS) to solving some difficult or poorly characterized optimization problems of a multi- modal or ...
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... Consequently [3 – 5] presented the Supply based superstructure (SBS), the supply and target based superstructure (S&TBS) and the target and supply based superstructure (T&SBS) to optimize the competing costs in ...
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Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility
... The first objective function minimizes total costs of the system. Alternatively, phrase (1) states fixed charge costs of DCs that are opened. Phrase (2) includes variable costs of product p producing in period t. Phrase ...
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Applications of inexact programming methods to waste management under uncertainty: current status and future directions
... mathematical programming (SMP), fuzzy mathematical programming (FMP), interval-parameter mathematical programming (IMP), and combinations of these methods (Singh ...mathematical programming ...
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A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty
... In this paper, we develop a robust optimization program to a facility location-allocation problem to design a supply chain under uncertain customer demands and cost parameters. We consider several suppliers, several ...
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Vol 2, No 4 (2011)
... classical mixed integer linear ...of mixed integer linear programming problems with fuzzy variables in a simple and effective ...
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Optimization of the Water Distribution Networks with Differential Evolution (DE) and Mixed Integer Linear Programming (MILP)
... either linear or nonlinear consists of an objective function which is sub- jected to some ...classical linear optimization method may results in a branch which consists of many pipe ...hand, linear ...
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