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Bound reduction using pairs of linear inequalities

Pietro Belotti
2012 Journal of Global Optimization  
Wächter, "A Probing Algorithm for MINLP with Failure Prediction by SVM," Proceedings of the eighth International Conference on Integration of Artificial Intelligence (AI) and Operations Research (OR) techniques  ...  Liberti, "A Branch-and-Price Algorithm for the Risk-Equity Constrained Routing Problem". In J. Pahl, T. Reiners, S.  ... 
doi:10.1007/s10898-012-9848-9 fatcat:vmkefad6sreqzdwi5okrolvc5m

Applications of Machine Learning in Networking: A Survey of Current Issues and Future Challenges

M. A. Ridwan, N. A. M. Radzi, F. Abdullah, Y. E. Jalil
2021 IEEE Access  
A review of the recent literature reveals extensive opportunities for researchers to exploit the advantages of ML in solving complex performance issues in a network, especially with the advancement of  ...  As a consequence, the conventional rule-based algorithms or protocols may no longer perform at their best efficiencies in these networks.  ...  The QU for the next time slot is predicted by ANN algorithms to cope with the network congestion resulting from sudden traffic bursts.  ... 
doi:10.1109/access.2021.3069210 fatcat:4i7vykwabbattm5uh3mgsdmhvi

Transfer Learning for Future Wireless Networks: A Comprehensive Survey [article]

Cong T. Nguyen, Nguyen Van Huynh, Nam H. Chu, Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham, Dusit Niyato, Eryk Dutkiewicz, Won-Joo Hwang
2021 arXiv   pre-print
With outstanding features, Machine Learning (ML) has been the backbone of numerous applications in wireless networks.  ...  This article aims to provide a comprehensive survey on applications of TL in wireless networks.  ...  For solving such MINLP optimization problems, the branch-and-bound algorithm [173] is often employed. However, the solving time of this algorithm grows exponentially as the problem size increases.  ... 
arXiv:2102.07572v2 fatcat:56si46duuvg55htquyhoawwg6m

Clustering of high throughput gene expression data

Harun Pirim, Burak Ekşioğlu, Andy D. Perkins, Çetin Yüceer
2012 Computers & Operations Research  
However, this paper presents a review of the current clustering algorithms designed especially for analyzing gene expression data.  ...  Bioinformatics, computational biology, and systems biology deal with biological problems using computational methods.  ...  Alshalalfah and Alhajj [5] also use FCM with SVM on three different microarray data sets. Other fuzzy clustering algorithms are provided by Hilt et al.  ... 
doi:10.1016/j.cor.2012.03.008 pmid:23144527 pmcid:PMC3491664 fatcat:zfc3l22vmvfvlphpqmoox5ka54

ANTS 2020 Program

2020 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)  
In this paper, we propose spectrum sensing schemes for a secondary user (SU) with multiple antennas to detect a primary user (PU) transmission in a cognitive mmWave network.  ...  Our approach for problem solving consists in iteratively applying a fixed-point method to the cells, and, for each cell, deriving an algorithm guaranteeing optimum for single-cell optimization.  ...  Second, we develop a probabilistic predictive scheme to avoid the unexpected failure of a UAV The proposed approach is validated using realistic synthetic datasets provided by the UAV laboratory at the  ... 
doi:10.1109/ants50601.2020.9342833 fatcat:ldgs2gnywnagpjk7sza6edc44e

5 Tools for Systems Engineering [chapter]

Sebastian Engell
2022 Integrated Chemical Processes in Liquid Multiphase Systems  
In the beginning, the main goal is to single out promising options based on a preliminary evaluation of their potential, which necessarily has to be done with incomplete knowledge or under uncertainty.  ...  The methods for acquiring this deep knowledge and the results for different prototypical reactions were described in detail in the previous chapters.  ...  The resulting algorithm, combining the relaxed MINLP model with the modeling approach described above, reduced the computation time for deterministic global optimization of a simple distillation column  ... 
doi:10.1515/9783110709858-005 fatcat:is7thj65pjdrnlmid7jubgochi

The Vessel Schedule Recovery Problem (VSRP) – A MIP model for handling disruptions in liner shipping

Berit D. Brouer, Jakob Dirksen, David Pisinger, Christian E.M. Plum, Bo Vaaben
2013 European Journal of Operational Research  
We propose a divisible load model and give an algorithm for scheduling multilayer divisible computations. The algorithm is tested experimentally.  ...  We formulate and analyze a strategic design model for public bicycle sharing systems with service level considerations.  ...  -Optimal Dynamic Tax Evasion: A Portfolio Approach Francesco Menoncin, Economics, Brescia University, Via S. Faustino, 74/B, 25122, Brescia, Italy, menoncin@eco.unibs.it, Rosella Levaggi  ... 
doi:10.1016/j.ejor.2012.08.016 fatcat:c27kagfnxnhjfbil2rydhjhomm

D1.1 - State of the Art Analysis

Danilo Ardagna
2021 Zenodo  
We also extensively discuss existing solutions for applications deployment, monitoring, runtime management, and scheduling considering the emerging Function as a Service paradigm.  ...  We then report an overview of the state-of-the-art of the solutions offered by the main cloud market players and the European providers.  ...  They proposed a greedy algorithm for their NP-hard problem by considering job priorities.  ... 
doi:10.5281/zenodo.6372377 fatcat:f6ldfuwivbcltew4smiiwphfty

Efficacy of wind power in mitigation of CO2 emission from the irish electrical grid

Paul Brogan, John Morrow, Robert Best, David Laverty
2014 2014 IEEE PES General Meeting | Conference & Exposition  
. . . . . . . . . . . . . . . . 72 Tenohlen, S. . . . . . . . . . . . . . . . . . . 83 Terry Saxton, T. . . . . . . . . . . . . . . 142 Tesfatsion, L. . . . . . . . . . . . . . . . . 159 Testa, A.  ...  . . . . . . . . . . . . . . 53 Tseng, K. . . . . . . . . . . . . . . . . . 55, 90 Tuck, B.. . . . . . . . . . . . . . . . . . . . . . 52 Tull De Salis, R. . . . . . . . . . . . . . . . 73 Tuohy, A.  ...  WANG, Gansu Power Grid • 14PESGM1776, A Scalable Decomposition Algorithm for PMU Placement Under Multiple-Failure Contingencies R. CHEN, Sandia National Laboratories J.  ... 
doi:10.1109/pesgm.2014.6939860 fatcat:y56dfxpqo5erhk76uacwjz2c6y

Development of operation trajectories under uncertainty for a hydroformylation mini plant [article]

David Müller, Technische Universität Berlin, Technische Universität Berlin, Günter Wozny
2015
Firstly, a framework is presented, in which a structured approach is given for process systems engineers developing models for optimization purposes.  ...  This framework is enhanced by ideas concerning model reformulation and approximation strategies to improve the numerical behavior of process models used for optimization studies.  ...  Prediction was performed after the evaluation of spectra both by partial least squares regression (PLS), support vector machines (SVM), and by indirect hard modeling (IHM)" (Müller et al., 2014c) .  ... 
doi:10.14279/depositonce-4721 fatcat:gkixhcuaizcalnhsxzpwnsgitu