Results 1 to 10 of about 164,719 (284)
Sparse Poisson regression via mixed-integer optimization. [PDF]
PLoS ONE, 2021 We present a mixed-integer optimization (MIO) approach to sparse Poisson regression. The MIO approach to sparse linear regression was first proposed in the 1970s, but has recently received renewed attention due to advances in optimization algorithms and ...
Hiroki Saishu, Kota Kudo, Yuichi Takano
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A Survey on Mixed-Integer Programming Techniques in Bilevel Optimization
EURO Journal on Computational Optimization, 2021 Bilevel optimization is a field of mathematical programming in which some variables are constrained to be the solution of another optimization problem. As a consequence, bilevel optimization is able to model hierarchical decision processes.
Thomas Kleinert +3 more
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A Framework for Globally Optimizing Mixed-Integer Signomial Programs [PDF]
Journal of Optimization Theory and Applications, 2013 Mixed-integer signomial optimization problems have broad applicability in engineering. Extending the Global Mixed-Integer Quadratic Optimizer, GloMIQO (Misener, Floudas in J. Glob. Optim., 2012. doi:10.1007/s10898-012-9874-7), this manuscript documents a
Floudas, CA, Misener, R
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Applications of Stochastic Mixed-Integer Second-Order Cone Optimization
IEEE Access, 2022 Second-order cone programming problems are a tractable subclass of convex optimization problems that can be solved using polynomial algorithms. In the last decade, stochastic second-order cone programming problems have been studied, and efficient ...
Baha Alzalg, Hadjer Alioui
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Dyna, 2021 This paper addresses the optimal location and sizing of photovoltaic (PV) sources in isolated direct current (DC) electrical networks, considering time-varying load and renewable generation curves.
Alexander Molina +2 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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Prescriptive price optimization using optimal regression trees
Operations Research Perspectives, 2023 This paper is concerned with prescriptive price optimization, which integrates machine learning models into price optimization to maximize future revenues or profits of multiple items.
Shunnosuke Ikeda +3 more
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Another pedagogy for mixed-integer Gomory
EURO Journal on Computational Optimization, 2017 We present a version of GMI (Gomory mixed-integer) cuts in a way so that they are derived with respect to a “dual form” mixed-integer optimization problem and applied on the standard-form primal side as columns, using the primal simplex algorithm.
Jon Lee, Angelika Wiegele
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Mixed-integer convex representability [PDF]
, 2019 Motivated by recent advances in solution methods for mixed-integer convex optimization (MICP), we study the fundamental and open question of which sets can be represented exactly as feasible regions of MICP problems.
Lubin, Miles +2 more
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A parametric integer programming algorithm for bilevel mixed integer programs [PDF]
, 2009 We consider discrete bilevel optimization problems where the follower solves an integer program with a fixed number of variables. Using recent results in parametric integer programming, we present polynomial time algorithms for pure and mixed integer ...
A. Barvinok +23 more
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