Results 21 to 30 of about 164,901 (283)
Linearized model for optimization of coupled electricity and natural gas systems
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
doaj +1 more source
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
doaj +1 more source
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded [PDF]
Decision trees usefully represent sparse, high dimensional and noisy data. Having learned a function from this data, we may want to thereafter integrate the function into a larger decision-making problem, e.g., for picking the best chemical process ...
Krennrich, Gerhard +4 more
core +2 more sources
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
doaj +1 more source
IDOL: A web application for mixed integer linear multiobjective optimization
Practical decision-making very often results in complex multiobjective optimization problems that can be solved only by advanced software. At present, it is available for singleobjective optimization and much less for multiobjective optimization ...
Ignacy Kaliszewski, Olga Karelkina
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj +1 more source

