Results 31 to 40 of about 9,474 (263)
Δ-MILP: Deep Space Network Scheduling via Mixed-Integer Linear Programming
IEEE Access, 2022 This paper introduces $\Delta $ -MILP, a powerful variant of the mixed-integer linear programming (MILP) optimization framework to solve NASA’s Deep Space Network (DSN) scheduling problem. This work is an extension of our original MILP framework (
Thomas Claudet +5 more
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Combinatorial Benders' Cuts for Mixed-Integer Linear Programming [PDF]
Operations Research, 2006 Mixed-integer programs (MIPs) involving logical implications modeled through big-M coefficients are notoriously among the hardest to solve. In this paper, we propose and analyze computationally an automatic problem reformulation of quite general applicability, aimed at removing the model dependency on the big-M coefficients.
CODATO G, FISCHETTI, MATTEO
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Production Optimization in a Grain Facility through Mixed-Integer Linear Programming
Applied Sciences, 2022 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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First-Order Mixed Integer Linear Programming
CoRR, 2012 Mixed integer linear programming (MILP) is a powerful representation often used to formulate decision-making problems under uncertainty. However, it lacks a natural mechanism to reason about objects, classes of objects, and relations. First-order logic (FOL), on the other hand, excels at reasoning about classes of objects, but lacks a rich ...
Geoffrey J. Gordon +2 more
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FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
Advanced Engineering Materials, EarlyView.We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Exact solution approaches for the workload smoothing in assembly lines
Engineering Science and Technology, an International Journal, 2021 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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On the interplay of Mixed Integer Linear, Mixed Integer Nonlinear and Constraint Programming [PDF]
, 2016 In this thesis we study selected topics in the field of Mixed Integer Programming (MIP), in particular Mixed Integer Linear and Nonlinear Programming (MI(N)LP). We set a focus on the influences of Constraint Programming (CP). First, we analyze Mathematical Programming approaches to water network optimization, a set of challenging optimization ...
openaire +2 more sources
Multimode Oxide‐Based Optoelectronic Memtransistor for In‐Sensor Vision Processing
Advanced Functional Materials, EarlyView.A multimode optoelectronic memtransistor (OEMT) is demonstrated for vision explainable artificial intelligence (VXAI) hardware. By integrating optical sensing, electrical masking, and non‐volatile memory, the device enables key operations required for generating saliency information.
Min Gu Lee +10 more
wiley +1 more source
Optimal Airport Surface Traffic Planning Using Mixed-Integer Linear Programming
International Journal of Aerospace Engineering, 2008 We describe an ongoing research effort pertaining to the development of a surface traffic automation system that will help controllers to better coordinate surface traffic movements related to arrival and departure traffic. More specifically, we describe
P. C. Roling, H. G. Visser
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A Robust Mixed-Integer Linear Programming Model for Sustainable Collaborative Distribution
Mathematics, 2021 In this paper, we propose robust optimisation models for the distribution network design problem (DNDP) to deal with uncertainty cases in a collaborative context.
Islem Snoussi +3 more
doaj +1 more source