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" New trends in emerging complex real life problems : "
Patrizia Daniele, Laura Scrimali, editors.
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BL
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| Record Number
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859192
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| Main Entry
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International Conference on Optimization and Decision Science(2018 :, Taormina, Italy)
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| Title & Author
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New trends in emerging complex real life problems : : ODS, Taormina, Italy, September 10-13 2018 /\ Patrizia Daniele, Laura Scrimali, editors.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2018]
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| Series Statement
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AIRO Springer series ;; volume 1
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1 online resource
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| ISBN
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3030004732
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: 9783030004736
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9783030004729
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| Notes
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2 Formal Description
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| Bibliographies/Indexes
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ReferencesThe Mahalanobis Distance for Feature Selection Using Genetic Algorithms: An Application to BCI; 1 Introduction; 2 The Proposed Approach; 3 Experimental Phase; 4 Conclusions; References; An Iterated Local Search Algorithm for the Pollution Traveling Salesman Problem; 1 Introduction; 2 Problem Description and Formulation; 3 Iterated Local Search Algorithm; 4 Computational Experiments; 5 Conclusions; References; Data Throughput Optimization for Vehicle to Infrastructure Communications; 1 Introduction; 2 Problem Description; 3 Problem Formulation; 4 Computational Results
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| Contents
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Intro; Preface; Contents; About the Editors; INFORMS, Analytics, Research and Challenges; 1 Introduction; 2 INFORMS; 3 Analytics; 4 Research; 4.1 The Sharing Economy; 4.2 Personalized Health Care; 4.3 Project Management; 5 Challenges; References; On the Limits of Computation in Non-convex Optimization; 1 Extended Abstract; Operations Research in Transportation and Supply Chain Management; 1 Introduction; 2 Supply Chain Management; 2.1 Systemic Direction; 2.2 Collaborative Direction; 2.3 Dynamic Direction; 2.4 Data-Driven Direction; 3 People Transportation; 3.1 On-demand Services
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3.2 New Shortest Path problems3.3 People and Freight; 4 Conclusions; References; Energy Optimization of a Speed-Scalable and Multi-states Single Machine Scheduling Problem; 1 Introduction; 2 Problem Definition; 3 Mathematical Formulations; 3.1 First Model; 3.2 Second Model; 4 Numerical Experiments; 5 Conclusion; References; Constrained Job Rearrangements on a Single Machine; 1 Introduction; 2 Problem Definition; 3 Solution Approaches and Preliminary Results; 3.1 Mathematical Programming Model; 3.2 Restricted Problems; 4 Conclusions; References
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5 ConclusionsReferences; Evaluation of Cascade Effects for Transit Networks; 1 Introduction; 2 Graph-Based Modelling of a Transit Network; 3 Capacity Cascades Caused from a Station Closure; 4 Experimental Setting and Results; 5 Conclusions; References; Maximizing Lifetime for a Zone Monitoring Problem Through Reduction to Target Coverage; 1 Introduction; 2 Considered Scenarios; 3 Reduction to Target Coverage and CG Solution Approach; 4 Computational Results; 5 Conclusion; References; Mathematical Formulations for the Optimal Design of Resilient Shortest Paths; 1 Introduction
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Reducing Overcrowding at the Emergency Department Through a Different Physician and Nurse Shift Organisation: A Case Study1 Introduction; 2 Modelling Approach; 3 Quantitative Analysis; 4 Conclusions; References; Integrating Mental Health into a Primary Care System: A Hybrid Simulation Model; 1 Introduction; 2 The Mental Care Pathway: A Case Study; 3 The Hybrid Model; 4 Quantitative Analysis; 5 Conclusions; References; Cost Minimization of Library Electronic Subscriptions; 1 Introduction; 2 Mathematical Model; 2.1 Resource Value and Cost; 2.2 Problem Formulation; 3 Numerical Results
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| Abstract
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This book gathers the contributions of the international conference "Optimization and Decision Science" (ODS2018), which was held at the Hotel Villa Diodoro, Taormina (Messina), Italy on September 10 to 13, 2018, and was organized by AIRO, the Italian Operations Research Society, in cooperation with the DMI (Department of Mathematics and Computer Science) of the University of Catania (Italy). The book offers state-of-the-art content on optimization, decisions science and problem solving methods, as well as their application in industrial and territorial systems. It highlights a range of real-world problems that are both challenging and worthwhile, using models and methods based on continuous and discrete optimization, network optimization, simulation and system dynamics, heuristics, metaheuristics, artificial intelligence, analytics, and multiple-criteria decision making. Given its scope of coverage, it will benefit not only researchers and practitioners working in these areas, but also the operations research community as a whole.--
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| Subject
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Mathematical optimization, Congresses.
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Operations research, Congresses.
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Mathematical optimization.
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Operations research.
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| Dewey Classification
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519.6
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| LC Classification
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QA402.5.I58 2018
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| Added Entry
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Daniele, Patrizia
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Scrimali, Laura
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