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Energy Reports, 2021 Optimization algorithms are tools used in the planning and operations of renewable energy-based distributed power systems. Mixed integer linear programming as a classical optimization method is considered in the literature for sizing nanogrid systems due
Gourab Das, M. De, K.K. Mandal
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Repetitive construction processes scheduling using mixed-integer linear programming
Budownictwo i Architektura, 2015 Many construction projects contain several identical or similar units, such as floors in multistory buildings, houses in housing developments, sections of pipelines or highways.
Piotr Jaśkowski
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Analyzing Infeasible Mixed-Integer and Integer Linear Programs [PDF]
INFORMS Journal on Computing, 1999 Algorithms and computer-based tools for analyzing infeasible linear and nonlinear programs have been developed in recent years, but few such tools exist for infeasible mixed-integer or integer linear programs. One approach that has proven especially useful for infeasible linear programs is the isolation of an Irreducible Infeasible Set of constraints (
Olivier Guieu, John W. Chinneck
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Mathematics, 2022 Techniques and methods of linear optimization underwent a significant improvement in the 20th century which led to the development of reliable mixed integer linear programming (MILP) solvers. It would be useful if these solvers could handle mixed integer
Loay Alkhalifa, Hans Mittelmann
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Mixed-Integer Programming to Solve Distribution Problems
Journal of New Results in Science, 2020 Mixed-integer linear and quadratic programming problems are considered to solve distribution problems in this paper. The first problem is the distribution of proctors with respect to the student placements to the class- rooms by mixed-integer linear ...
Kamil Oruçoğlu +4 more
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Operations Research Perspectives, 2023 In the last decade, increasing costs and organizational concerns regarding the funding and allocation of financial resources have led to significant attention being given to financial flow and its effects on planning decisions throughout supply chain ...
Ehsan Badakhshan, Peter Ball
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Mixed Integer Linear Programming Based Speed Profile Optimization for Heavy-Haul Trains
Journal of Advanced Transportation, 2023 Automatic heavy-haul train (HHT) operation technology has recently received considerable attention in the field of rail transportation. In this paper, a discrete-time-based mathematical formulation is proposed to address the speed profile optimization ...
Huazhen Yu +4 more
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Polyhedral Approaches to Mixed Integer Linear Programming [PDF]
, 2009 This survey presents tools from polyhedral theory that are used in integer programming. It applies them to the study of valid inequalities for mixed integer linear sets, such as Gomory's mixed integer cuts.
CONFORTI, MICHELANGELO +2 more
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Blocking Orthogonal Designs With Mixed Integer Linear Programming [PDF]
Technometrics, 2014 We present a mixed integer linear programming approach to orthogonally block two-level, multilevel, and mixed-level orthogonal designs. The approach involves an exact optimization technique which guarantees an optimal solution. It can be applied to many problems where combinatorial methods for blocking orthogonal designs cannot be used.
Bagus Sartono +2 more
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Optimizing Dynamic Evacuation Using Mixed-Integer Linear Programming
MathematicsThis study presents a new approach to optimize the dynamic evacuation process through a dynamic traffic assignment model formulated using mixed-integer linear programming (MILP).
Hamoud Bin Obaid +4 more
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