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IEEE Access, 2022 The branch and bound (BB) algorithm is widely used to obtain the global solution of mixed-integer linear programming (MILP) problems. On the other hand, when the traditional BB structure is directly used to solve nonconvex mixed-integer nonlinear ...
Reinaldo T. Zoppei +4 more
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Undecidability and hardness in mixed-integer nonlinear programming [PDF]
RAIRO - Operations Research, 2019 We survey two aspects of mixed-integer nonlinear programming which have attracted less attention (so far) than solution methods, solvers and applications: namely, whether the class of these problems can be solved algorithmically, and, for the subclasses which can, whether they are hard to solve.
Leo Liberti
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Mixed-integer nonlinear programming 2018 [PDF]
Optimization and Engineering, 2019 Mixed-Integer Nonlinear Programming (MINLP) is the area of optimization that addresses nonlinear problems with continuous and integer variables. MINLP has proven to be a powerful tool for modeling. At the same time, it combines algorithmic design challenges from combinatorial and nonlinear optimization.
N. Sahinidis
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Lossy compression of matrices by black box optimisation of mixed integer nonlinear programming [PDF]
Scientific Reports, 2022 In edge computing, suppressing data size is a challenge for machine learning models that perform complex tasks such as autonomous driving, in which computational resources (speed, memory size and power) are limited.
Tadashi Kadowaki, Mitsuru Ambai
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On generalized surrogate duality in mixed-integer nonlinear programming [PDF]
Mathematical Programming, 2020 AbstractThe most important ingredient for solving mixed-integer nonlinear programs (MINLPs) to global $$\epsilon $$ ϵ -optimality with spatial branch and bound is a tight, computationally tractable relaxation. Due to both theoretical and practical considerations, relaxations of MINLPs are usually required to be convex.
Benjamin Müller 0002 +5 more
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A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders
Energies, 2020 This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation.
O. D. Montoya +4 more
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An algorithmic framework for convex mixed integer nonlinear programs
Discrete Optimization, 2008 This paper is motivated by the fact that mixed integer nonlinear programming is an important and difficult area for which there is a need for developing new methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed integer linear programming and nonlinear programming, have seen considerable and ...
Pierre Bonami +2 more
exaly +5 more sources
Mixed-Integer Nonlinear Programming for State-Based Non-Intrusive Load Monitoring [PDF]
IEEE Transactions on Smart Grid, 2021 Energy disaggregation, known in the literature as Non-Intrusive Load Monitoring (NILM), is the task of inferring the energy consumption of each appliance given the aggregate signal recorded by a single smart meter.
Marco Balletti +2 more
semanticscholar +1 more source
Port Call Optimization at a Ferry Terminal with Stochastic Servicing Time and Additional Visits
Journal of Marine Science and Engineering, 2023 Ferry shipping is an indispensable method of public transportation, especially in areas with well-developed river systems or coastal areas. The increasing demand for transport requires additional visits and introduces the problem of ship visit schedule ...
Jingwen Qi +3 more
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IEEE transactions on intelligent transportation systems (Print), 2021 Energy consumption is expected to be reduced while maintaining high productivity for container handling. This paper investigates a new energy-efficient scheduling problem of automated container terminals, in which quay cranes (QCs) and lift automated ...
Jianbin Xin +4 more
semanticscholar +1 more source