Results 21 to 30 of about 163,261 (288)
Reactive power compensator location and capacity determination strategy based on second-order cone programming [PDF]
In response to the problems of slow solving speed and difficult parameter selection in the current proposed dynamic reactive power compensation device location and capacity determination strategies, a dynamic reactive power compensation device location ...
Liqun SHANG +4 more
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Integer convex minimization by mixed integer linear optimization [PDF]
Minimizing a convex function over the integral points of a bounded convex set is polynomial in fixed dimension (Grötschel et al., 1988). We provide an alternative, short, and geometrically motivated proof of this result.
Oertel, Timm +2 more
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Automatic instantiation of a Variable Neighborhood Descent from a Mixed Integer Programming model
In this paper we describe the automatic instantiation of a Variable Neighborhood Descent procedure from a Mixed Integer Programming model. We extend a recent approach in which a single neighborhood structure is automatically designed from a Mixed Integer
Tommaso Adamo +3 more
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A mixed-integer approximation of robust optimization problems with mixed-integer adjustments
AbstractIn the present article we propose a mixed-integer approximation of adjustable-robust optimization problems, that have both, continuous and discrete variables on the lowest level. As these trilevel problems are notoriously hard to solve, we restrict ourselves to weakly-connected instances. Our approach allows us to approximate, and in some cases
Jan Kronqvist, Boda Li, Jan Rolfes
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Optimal STATCOM Allocation Using Mixed Integer Distributed Ant Colony Optimization
This paper presents a novel optimization approach to find the optimal STATCOM installation in the power system using Mixed Integer Distributed Ant Colony optimization (MIDACO). The proposed method is mathematically formulated based on minimizing the Voltage Deviation Index (VDI) and the installation cost of STATCOM.
Al-Majali, BH +3 more
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Integration of scheduling and control can improve the overall performance of a manufacturing process. However, the integration leads to a mixed-integer dynamic optimization problem (MIDO), which could be challenging to solve. We propose a novel algorithm
Y. Chu, F. You
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Optimization algorithms are tools used in the planning and operations of renewable energy-based distributed power systems. Mixed integer linear programming as a classical optimization method is considered in the literature for sizing nanogrid systems due
Gourab Das, M. De, K.K. Mandal
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We introduce the idea that using optimal classification trees (OCTs) and optimal classification trees with-hyperplanes (OCT-Hs), interpretable machine learning algorithms developed by Bertsimas and Dunn [2017, 2018], we are able to obtain insight on the ...
Bertsimas, Dimitris +1 more
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In this work, we consider the integrated problem of locomotive scheduling and driver assignment in rail freight companies. Our aim is to compute an optimal simultaneous assignment of locomotives and drivers to the trains listed in a given order-book ...
Andreas Bärmann +2 more
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Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints
This paper considers the problem of minimizing a nonlinear objective function subject to a system of bipolar fuzzy relational equations with max- T L $T_{L}$ composition, where T L $T_{L}$ is the Łukasiewicz triangular norm.
Jian Zhou +3 more
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