Results 11 to 20 of about 3,884,977 (280)
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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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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Overview on Mixed Integer Nonlinear Programming Problems [PDF]
AIP Conference Proceedings, 2009 Many optimization problems involve integer and continuous variables that can be modeled as mixed integer nonlinear programming (MINLP) problems. This has led to a wide range of applications, in particular in some engineering areas. Here, we provide a brief overview on MINLP, and present a simple idea for a future nonconvex MINLP solution technique.
Florbela P. Fernandes +5 more
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Non-convex mixed-integer nonlinear programming : a survey [PDF]
, 2012 A wide range of problems arising in practical applications can be formulated as Mixed-Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint functions are convex, some quite effective exact and heuristic algorithms are ...
Burer, S, Letchford, Adam
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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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Computer assisted modelling of linear, integer and separable programming problems [PDF]
, 1984 For mathematical programming (MP) to have greater impact upon the decision making process, MP software systems must offer suitable support in terms of model communication and modelling techniques .
Mitra, G, Darby-Dowman, K, Lucas, CA
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A Feasibility Pump for mixed integer nonlinear programs [PDF]
Mathematical Programming, 2008 We present an algorithm for finding a feasible solution to a convex mixed integer nonlinear program. This algorithm, called Feasibility Pump, alternates between solving nonlinear programs and mixed integer linear programs. We also discuss how the algorithm can be iterated so as to improve the first solution it finds, as well as its integration within ...
P. Bonami +3 more
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Mathematics, 2021 This paper considers the fast and effective solving method for the unit commitment (UC) problem with wind curtailment and pollutant emission in power systems.
Xiali Pang +3 more
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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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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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