Coverart for item
The Resource Optimization and decision science : methodologies and applications : ODS, Sorrento, Italy, September 4-7, 2017, Antonio Sforza, Claudio Sterle, editors, (electronic book)

Optimization and decision science : methodologies and applications : ODS, Sorrento, Italy, September 4-7, 2017, Antonio Sforza, Claudio Sterle, editors, (electronic book)

Label
Optimization and decision science : methodologies and applications : ODS, Sorrento, Italy, September 4-7, 2017
Title
Optimization and decision science
Title remainder
methodologies and applications : ODS, Sorrento, Italy, September 4-7, 2017
Statement of responsibility
Antonio Sforza, Claudio Sterle, editors
Creator
Contributor
Editor
Subject
Genre
Language
eng
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 intelligence, analytics, and also multiple-criteria decision making. The number and the increasing size of the problems arising in real life require mathematical models and solution methods adequate to their complexity. There has also been increasing research interest in Big Data and related challenges. These challenges can be recognized in many fields and systems which have a significant impact on our way of living: design, management and control of industrial production of goods and services; transportation planning and traffic management in urban and regional areas; energy production and exploitation; natural resources and environment protection; homeland security and critical infrastructure protection; development of advanced information and communication technologies. The chapters in this book examine how to deal with new and emerging practical problems arising in these different fields through the presented methodologies and their applications. The chapter topics are applicable for researchers and practitioners working in these areas, but also for the operations research community.  The contributions were presented during the international conference zOptimization and Decision Sciencey (ODS2017), held at Hilton Sorrento Palace Conference Center, Sorrento, Italy, September 4 – 7, 2017. ODS 2017, was organized by AIRO, Italian Operations Research Society, in cooperation with DIETI (Department of Electrical Engineering and Information Technology) of University zFederico IIy of Naples.--
Member of
Assigning source
Provided by publisher
Cataloging source
EBLCP
Dewey number
  • 519.6
  • 510
Index
index present
LC call number
QA402.5
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2017
http://bibfra.me/vocab/lite/meetingName
International Conference on Optimization and Decision Science
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Sforza, Antonio
  • Sterle, Claudio
Series statement
Springer Proceedings in Mathematics & Statistics
Series volume
v.217
http://library.link/vocab/subjectName
  • Mathematical optimization
  • Decision making
Label
Optimization and decision science : methodologies and applications : ODS, Sorrento, Italy, September 4-7, 2017, Antonio Sforza, Claudio Sterle, editors, (electronic book)
Instantiates
Publication
Note
  • ""The Use of Configurational Analysis in the Evaluation of Real Estate Dynamics""
  • Includes author index
Antecedent source
file reproduced from an electronic resource
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""
Dimensions
unknown
Extent
1 online resource (607 p.)
File format
one file format
Form of item
online
Isbn
9783319673073
Level of compression
unknown
Quality assurance targets
unknown
Reformatting quality
unknown
Specific material designation
remote
System control number
  • (OCoLC)1011213626
  • on1011213626
Label
Optimization and decision science : methodologies and applications : ODS, Sorrento, Italy, September 4-7, 2017, Antonio Sforza, Claudio Sterle, editors, (electronic book)
Publication
Note
  • ""The Use of Configurational Analysis in the Evaluation of Real Estate Dynamics""
  • Includes author index
Antecedent source
file reproduced from an electronic resource
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""
Dimensions
unknown
Extent
1 online resource (607 p.)
File format
one file format
Form of item
online
Isbn
9783319673073
Level of compression
unknown
Quality assurance targets
unknown
Reformatting quality
unknown
Specific material designation
remote
System control number
  • (OCoLC)1011213626
  • on1011213626

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