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Optimization and decision science : methodologies and applications : ODS, Sorrento, Italy, September 4-7, 2017

Author: Antonio Sforza; Claudio Sterle
Publisher: Cham : Springer, 2017.
Series: Springer proceedings in mathematics & statistics, v. 217.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Summary:
This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It includes contributions tackling these themes using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial  Read more...
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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Additional Physical Format: Print version:
Sforza, Antonio.
Optimization and Decision Science: Methodologies and Applications.
Cham : Springer International Publishing, ©2017
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Antonio Sforza; Claudio Sterle
ISBN: 9783319673080 3319673084
OCLC Number: 1011213626
Notes: ""The Use of Configurational Analysis in the Evaluation of Real Estate Dynamics""
Includes author index.
Description: 1 online resource (607 pages)
Contents: ""Preface""; ""Organization""; ""Conference Chairs""; ""Contents""; ""Part I Invited Lectures""; ""Robust Network Control and Disjunctive Programming""; ""1 Motivation""; ""1.1 Formulation""; ""1.2 NP-Hardness of General Problem""; ""2 Batteries and Renewables in Power Grids""; ""2.1 Uncertainty Modeling""; ""2.2 Battery Modeling""; ""3 A Numerical Experiment""; ""References""; ""Data Science Meets Optimization""; ""1 Introduction""; ""2 Data Science for Optimisation""; ""2.1 DFO Example: Using Data Science in Algorithm Construction"" ""2.2 DFO Example: Using Data Science While Engineering an Algorithm""""3 Optimisation for Data Science""; ""3.1 OFD Example: Community Detection in Graphs""; ""4 Conclusions and Future Work""; ""References""; ""From Mixed-Integer Linear to Mixed-Integer Bilevel Linear Programming""; ""1 Introduction""; ""2 Mixed-Integer Bilevel Linear Programming""; ""3 Intersection Cuts for MIBLPs""; ""4 Informed No-Good Cuts""; ""References""; ""Part II Data Science""; ""Outperforming Image Segmentation by Exploiting Approximate K-Means Algorithms""; ""1 Introduction"" ""2 Approximate Computing in the Literature""""3 Image Clustering Through Approximate K-Means""; ""3.1 Approximate Computing by Mutating Algorithms""; ""4 Preliminary Experimental Campaign""; ""5 Conclusion and Final Discussion""; ""References""; ""Approximate Decision Tree-Based Multiple Classifier Systems""; ""1 Introduction""; ""2 Related Work""; ""3 Approximate Computing for DT Models""; ""3.1 The mathbbIDEmathbbA Work-Flow""; ""4 Experimental Results""; ""5 Conclusions""; ""References""; ""Look-Up Tables for Efficient Non-Linear Parameters Estimation""; ""1 Introduction"" ""2 The Proposed Approach""""2.1 Curve Fitting Using Look-Up Tables""; ""2.2 Case-Study: Fitting PBPK Models in Breast DCE-MRI""; ""3 Experimental Results""; ""4 Discussion and Conclusions""; ""References""; ""On the UTA Methods for Solving the Model Selection Problem""; ""1 Introduction""; ""2 The UTA and the UTASTAR Methods""; ""3 An Application of the UTA and UTASTAR Methods""; ""4 Conclusions""; ""References""; ""8 The Importance to Manage Data Protection in the Right Way: Problems and Solutions""; ""Abstract""; ""1 Introduction""; ""2 Data Protection Aspects"" ""2.1 Data Classification Levels""""2.2 Threats and Vulnerabilities""; ""2.3 Data Security Requirements""; ""3 A Data Protection Management Approach""; ""3.1 Using an Information Security Management System (ISMS) Based on the GRC Framework""; ""3.2 Technological Point of View-Defense in Depth Approach""; ""3.2.1 Defense in Depth Approach""; ""3.2.2 Maturity Levels""; ""4 The ISMS of Ansaldo STS""; ""4.1 ISMS Process""; ""4.2 Segregation of Duties""; ""4.3 Documentation of the ISMS""; ""5 Conclusion""; ""References""
Series Title: Springer proceedings in mathematics & statistics, v. 217.
Responsibility: Antonio Sforza, Claudio Sterle, editors.

Abstract:

This proceedings volume highlights the state-of-the-art knowledge related to optimization, decisions science and problem solving methods, as well as their application in industrial and territorial  Read more...

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