Results 31 to 40 of about 3,544 (214)
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
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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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
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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Optimizing Dynamic Evacuation Using Mixed-Integer Linear Programming
This 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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Exact solution approaches for the workload smoothing in assembly lines
In this paper, the problem of minimizing the smoothness index for an assembly line given a fixed cycle time and the number of workstations is studied. This problem which is known as the workload smoothing line balancing problem (WSLBP) is a mixed-integer
Derya Dinler, Mustafa Kemal Tural
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Polyhedral Approaches to Mixed Integer Linear Programming [PDF]
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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Production Optimization in a Grain Facility through Mixed-Integer Linear Programming
This article introduces a Mixed-Integer Linear Programming model for cost optimization in multi-product multi-line production scheduling. This model considers discrete time windows and includes realistic constraints. The NP completeness of the problem is
Gabriel Bayá +4 more
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Blocking Orthogonal Designs With Mixed Integer Linear Programming [PDF]
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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We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source

