|
|
|
|
|
Nikoletta Gkonou, Emmanouil Nisyrios and Konstantinos Gkiotsalitis
This study develops optimal maintenance schedules for train lines, a critical endeavor ensuring the safety, efficiency, and reliability of railway networks. The study addresses the combined scheduling problem of maintenance works and crews on the railway...
ver más
|
|
|
|
|
|
|
|
|
|
|
Aleksey I. Pakhomchik, Vladimir V. Voloshinov, Valerii M. Vinokur and Gordey B. Lesovik
There exists a wide range of constraint programming (CP) problems defined on Boolean functions depending on binary variables. One of the approaches to solving CP problems is using specific appropriate solvers, e.g., SAT solvers. An alternative is using t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sung-Hwan Kim, Ki-Joune Li and Hwan-Gue Cho
Utilizing indoor spaces has become important with the progress of localization and positioning technologies. Covering and partitioning problems play an important role in managing, indexing, and analyzing spatial data. In this paper, we propose a multi-st...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fabio D?Andreagiovanni, Hicham Lakhlef and Antonella Nardin
Because of the introduction and spread of the second generation of the Digital Video Broadcasting?Terrestrial standard (DVB-T2), already active television broadcasters and new broadcasters that have entered in the market will be required to (re)design th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Paolo Gnes, Piero Pinamonti and Mauro Reini
In recent years, ship builders and owners have to face a great effort to develop new design and management methodologies that lead to a reduction in consumption and emissions during the operation of the fleet. In the present study, the optimization of an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Katsuaki Umiji, Koichi Kobayashi and Yuh Yamashita
A probabilistic Boolean network (PBN) is well known as one of the mathematical models of gene regulatory networks. In a Boolean network, expression of a gene is approximated by a binary value, and its time evolution is expressed by Boolean functions. In ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tomas Vyskocil and Hristo Djidjev
Quantum annealers such as D-Wave machines are designed to propose solutions for quadratic unconstrained binary optimization (QUBO) problems by mapping them onto the quantum processing unit, which tries to find a solution by measuring the parameters of a ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Saeid Esmaeili, Amjad Anvari-Moghaddam, Shahram Jadid and Josep M. Guerrero
Due to the recent developments in the practical implementation of remotely controlled switches (RCSs) in the smart distribution system infrastructure, distribution system operators face operational challenges in the hourly reconfigurable environment. Thi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kentaro Wada, Kento Usui, Tsubasa Takigawa, Masao Kuwahara
Pág. 624 - 644
This study considers an optimal coordinated traffic signal control under both deterministic and stochastic demands. We first present a new mixed integer linear programming (MILP) for the deterministic signal optimization wherein traffic flow is modeled b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Raida Abuizam
The Midwest Trauma centers case illustrates how the application of set covering can be used in locating trauma centers in the Midwest region. It shows the students how to develop a linear programming spreadsheet model with binary variables to find the mi...
ver más
|
|
|
|
|
|