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2018 International Conference on Learning and Optimization Algorithms: Theory and Applications, LOPAL 2018

作者： Benhammou, Yassir Tabik, Siham Herrera, Francisco Achchab, Boujemâa Hassan 1st University Higher School of Technologies of Berrechid Systems Analysis and Modeling for Decision Support Laboratory Berrechid 218 Morocco Department of Computer Science and Artificial Intelligence University of Granada Granada18071 Spain

ISBN: (纸本)9781450353045

During last decades, computer-assisted diagnosis systems for medical purposes have been highly developed. However, further research is still needed, especially for the diagnosis of very dangerous diseases such as breast cancer. For diagnosis, deep learning and more precisely Convolutional Neural Networks (CNNs) have shown a high potential in providing an automatic assistance to domain experts. This work explores and analyzes the performance of the state-of-the art CNN model in the problem of breast cancer histopathological images diagnosis. © 2018 Association for Computing Machinery.

关键词： Deep learning

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The 0/1 Multidimensional Knapsack Problem and Its Variants: A Survey of Practical Models and Heuristic Approaches

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American Journal of Operations Research 2018年第5期8卷 395-439页

作者： Soukaina Laabadi Mohamed Naimi Hassan El Amri Boujemaa Achchab ENS-Hassan II University Laboratory of Mathematics and Applications Casablanca Morocco EST-Hassan I University Laboratory of Analysis Modeling Systems and Decision Support Berrechid Morocco

The 0/1 Multidimensional Knapsack Problem (0/1 MKP) is an interesting NP-hard combinatorial optimization problem that can model a number of challenging applications in logistics, finance, telecommunications and other fields. In the 0/1 MKP, a set of items is given, each with a size and value, which has to be placed into a knapsack that has a certain number of dimensions having each a limited capacity. The goal is to find a subset of items leading to the maximum total profit while respecting the capacity constraints. Even though the 0/1 MKP is well studied in the literature, we can just find a little number of recent review papers on this problem. Furthermore, the existing reviews focus particularly on some specific issues. This paper aims to give a general and comprehensive survey of the considered problem so that it can be useful for both researchers and practitioners. Indeed, we first describe the 0/1 MKP and its relevant variants. Then, we present the detailed models of some important real-world applications of this problem. Moreover, an important collection of recently published heuristics and metaheuristics is categorized and briefly reviewed. These approaches are then quantitatively compared through some indicative statistics. Finally, some synthetic remarks and research directions are highlighted in the conclusion.

关键词： 0/1 Multidimensional Knapsack Problem Survey Real-World Applications Heuristics Metaheuristics

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Preface

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CEUR Workshop Proceedings 2022年 3091卷

作者： Kovalev, Igor Semenkin, Eugene Schwenker, Friedhelm Shaidurov, Vladimir Ganchev, Todor Škraba, Andrej Stanimirović, Predrag Kolehmainen, Mikko Kronberger, Gabriel Affenzeller, Michael Brester, Christina Ryzhikov, Ivan Kazakovtsev, Lev Sopov, Evgenii Semenkina, Maria Akhmedova, Shakhnaz Stanovov, Vladimir Krasnoyarsk Regional Science and Technology City Hall Department of Computer Science of Siberian Federal University Krasnoyarsk Russia Siberian Institute of Applied System Analysis named after A.N. Antamoshkin The Department ofsystem analysis and operations research of Reshetnev University Krasnoyarsk Russia Institute of Neural Information Processing Ulm University Ulm Germany The Institute of Computational Modeling SB RAS Krasnoyarsk Russia Technical University of Varna Varna Bulgaria University of Maribor UM Faculty of Organizational Sciences Cybernetics and Decision Support Systems Laboratory Slovenia Department of Computer Science Niš Serbia Department of Environmental and Biological Sciences Environmental Informatics University of Eastern Finland Kuopio Finland University of Applied Sciences Upper Austria Hagenberg Austria Department of Software Engineering School of Informatics Communications and Media University of Applied Sciences Upper Austria Hagenberg Austria University of Eastern Finland UEF · Department of Environmental Science Kuopio Finland The Department of Systems Analysis Reshetnev University of Science and Technology Krasnoyarsk Russia Siberian Institute of Applied System Analysis Krasnoyarsk Russia University of Applied Sciences Upper Austria and Softwarepark Hagenberg Austria Reshetnev Siberian States University of Science and Technology Siberian Institute of Applied System Analysis Krasnoyarsk Russia SibSAU · Institute of computer science and telecommunications Krasnoyarsk Russia

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Preface

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CEUR Workshop Proceedings 2021年 2899卷

作者： Kovalev, Igor Semenkin, Eugene Gulyaev, Yuri Barakaev, Nusratilla Shaidurov, Vladimir Škraba, Andrej Tsarev, Roman Legalov, Alexander Saramud, Mikhail Grosspietsch, Karl-Erwin Stupina, Alena Department of Computer Science Siberian Federal University Krasnoyarsk Russia Department of system analysis and operations research of Reshetnev University Krasnoyarsk Russia International and Russian Union of Scientific and Engineering Associations Moscow Russia Rector of Bukhara Engineering Technological Institute Bukhara Uzbekistan Institute of Computational Modeling SB RAS Krasnoyarsk Russia University of Maribor UM Faculty of Organizational Sciences - Cybernetics and Decision Support Systems Laboratory Slovenia Department of Informatics Siberian Federal University Krasnoyarsk Russia Faculty of Computer Science School of Software Engineering HSE University Moscow Russia Department of Informatics Siberian Federal University Krasnoyarsk Russia European Organization for Information and Microelectronics Germany The Siberian Federal University Krasnoyarsk Russia

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Cloud Computing adoption in developing countries: A systematic literature review

Cloud Computing adoption in developing countries: A systemat...

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IEEE International Technology Management Conference

作者： I. M'rhaouarh C. Okar A. Namir N. Chafiq Laboratory of Technological Information and Modelisation (LTIM) Faculty of Sciences Ben M’Sik University Hassan II Casablanca Morocco Laboratory of Analysis and Modeling Systems for Decision Support (LAMSAD) University Hassan 1st EST Berrechid Morocco Multidisciplinary Laboratory in Sciences and Information Communication and Education Technology (LAPSTICE) Faculty of Sciences Ben M’Sik University Hassan II Casablanca Morocco

ISBN: (纸本)9781538643167;9781538643150

Purpose: The Cloud computing has been defined as a new evolution in the domain of information technology (IT). With this progress comes a huge potential which governments and organizations in the developed world are already used with the view to enhance performance and service delivery. This paper depends on Technology-Organization-Environment (TOE) frame-work to review the cloud computing adoption in developing countries. Methodology: We conducted a systematic review according to guidelines Kitchenham to elaborate the review methodology in detail and identify documents that reported on cloud computing adoption in developing countries. In particular, several databases were systematically searched, and the reference list of relevant forty studies were screened and ultimately were involved in this review. Findings: The findings of the study reveal that security concern, privacy and data loss were the technology, organization and environment factors found to be significant in cloud computing adoption in a developing country context and there are also some advantages that encourage the adoption of this paradigm in these countries. Originality/value: A systematic framework of cloud computing adoption in developing countries will be essential to accelerate the use of this technology in these countries for working well in fact.

关键词： Cloud computing Developing countries Computational modeling Systematics Standards organizations Companies

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What are the critical success factors for the implementation of supply chain performance measurement systems in SMEs

What are the critical success factors for the implementation...

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International Conference on Industrial Engineering and systems Management (IESM)

作者： Meriam Jardioui Semaa Alami Chafik Okar Industrial and innovation Faculty of science and technology Hassan I university Settat Morocco Laboratory of systems analysis and modeling for decision support College of technology Hassan I university Morocco

ISBN: (纸本)9781467383400

In an attempt to cope with an economic environment that doesn't seem to slow its development and while under the pressure of being more competitive, every company takes in a new strategy enabling it to be in better conditions in its business sector. Research has shown that performance measurement systems, especially those deriving from the mission of the supply chain and the process of strategic planning, have a key role in the development of the companies' management and performance. There is a growing literature concerned with the design and the implementation of supply chain performance measurement (SCPMS) systems and plenty of them mention the difficulties of their implementation especially in SMEs. Using a critical success factor (CSF) approach and based on the analysis of the existing literature, we investigate this crucial issue in-depth and we put forward and define CSFs that are crucial for implementing SCPM systems in SMEs throughout this article. The empirical investigation is still ongoing and it will be carried out by using critical thinking, inductive reasoning and in-depth interviews in Moroccan small and medium enterprises (SMEs).

关键词： Measurement Supply chains System implementation Interviews Stakeholders Industries

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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A mixed integer programming approach for optimal power grid intentional islanding

A mixed integer programming approach for optimal power grid ...

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作者： Fan, Neng Izraelevitz, David Pan, Feng Pardalos, Panos M. Wang, Jianhui D-6 Risk Analysis and Decision Support Systems Los Alamos National Laboratory Los Alamos NM 87545 United States Discrete Math and Complex Systems Sandia National Laboratories Albuquerque NM 87185 United States Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville FL 32611 United States Higher School of Economics National Research University 20 Myasnitskaya st. Moscow 101000 Russia Center for Energy Environmental and Economic Systems Analysis Argonne National Laboratory Argonne IL 60439 United States

A power grid island is a self-sufficient subnetwork in a large-scale power system. In weakly connected islands, limited inter-island power flows are allowed. Intentional islanding of a power grid is helpful for the analysis of distributed generation systems connected to a power grid, and valuable for power system reliability of extreme emergency states. In this paper, we use graph partitioning methods to form islands in a power grid and formulate these problems as mixed integer programs. Our models are based the optimal power flow model to minimize the load shedding cost. With these mathematical programming models, optimal formation of islands can be obtained and the different approaches can be compared. Through experiment on IEEE-30-Bus system, computational results are analyzed and compared to provide insight for power grid intentional islanding. © 2012 Springer-Verlag.

关键词： Electric load flow

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Locating phasor measurements and detecting cutset angles in power systems

Locating phasor measurements and detecting cutset angles in ...

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IEEE POWER ENERGY SOCIETY Innovative Smart Grid Technologies Conference

作者： Fan, Neng Pan, Feng Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville FL 32611 United States LANL United States D-6 Risk Analysis and Decision Support Systems Los Alamos National Laboratory Los Alamos NM 87545 United States

ISBN: (纸本)9781612842189

The phase angle can measure the static stress in a power grid, and large phase-angle difference can indicate the instability of a grid. Ubiquitous placement of phasor measure units in a wide area can be costly and data intensive. Following the definition of the cutset proposed by Dobson et al. (2010), we develop optimization models to identify a cutset across which there is the largest angle difference. Locating phasor measurement units along the cutset can measure the instability between the partitioned areas. Results show that our method can increase awareness of the stress in a power system. © 2011 IEEE.

关键词： Integer programming

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Locating phasor measurements and detecting cutset angles in power systems

Locating phasor measurements and detecting cutset angles in ...

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Innovative Smart Grid Technologies (ISGT)

作者： Neng Fan Feng Pan Center for Applied Optimization Department of Industrial and Systems Engineering University of Florida Gainesville FL USA D-6 Risk Analysis and Decision Support Systems Los Alamos National Laboratory Los Alamos NM USA

关键词： Stress Transmission line measurements Power grids Power transmission lines Monitoring Computational modeling

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