Results 11 to 20 of about 163,261 (288)
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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GloMIQO: Global mixed-integer quadratic optimizer
Journal of Global Optimization, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Misener, R, Floudas, CA
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A Framework for Globally Optimizing Mixed-Integer Signomial Programs [PDF]
, 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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Solving Multiobjective Mixed Integer Convex Optimization Problems [PDF]
SIAM Journal on Optimization, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
De Santis, Marianna +3 more
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Mirror-Descent Methods in Mixed-Integer Convex Optimization [PDF]
, 2012 In this paper, we address the problem of minimizing a convex function f over a convex set, with the extra constraint that some variables must be integer. This problem, even when f is a piecewise linear function, is NP-hard.
A. Conn +15 more
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Disjunctive cuts in Mixed-Integer Conic Optimization
Mathematical Programming, 2022 This paper studies disjunctive cutting planes in Mixed-Integer Conic Programming. Building on conic duality, we formulate a cut-generating conic program for separating disjunctive cuts, and investigate the impact of the normalization condition on its resolution. In particular, we show that a careful selection of normalization guarantees its solvability
Lodi A., Tanneau M., Vielma J. -P.
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A Modified Jaya Algorithm for Mixed-Variable Optimization Problems
Journal of Intelligent Systems, 2018 Mixed-variable optimization problems consist of the continuous, integer, and discrete variables generally used in various engineering optimization problems.
Singh Prem, Chaudhary Himanshu
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Mathematics, 2022 This paper proposes a new solution methodology based on a mixed-integer conic formulation to locate and size photovoltaic (PV) generation units in AC distribution networks with a radial structure.
Oscar Danilo Montoya +2 more
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Linearized model for optimization of coupled electricity and natural gas systems
Journal of Modern Power Systems and Clean Energy, 2017 In this paper a combined optimization of a coupled electricity and gas system is presented. For the electricity network a unit commitment problem with optimization of energy and reserves under a power pool, considering all system operational and unit ...
Mathias SIRVENT +3 more
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