Optimization and Decision Science: Methodologies and Applications : ODS, Sorrento, Italy, September 4-7, 2017. 1st ed. 2017

種類:

電子ブック

責任表示:

edited by Antonio Sforza, Claudio Sterle

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2017

著者名:

• Sforza, Antonio.
• Sterle, Claudio.
• SpringerLink (Online service)

シリーズ名:

Springer Proceedings in Mathematics & Statistics ; 217

ISBN:

9783319673080 [3319673084]    

注記:

Robust Network Control and Disjunctive Programming -- Data Science meets Optimization -- From Mixed-Integer Linear to Mixed-Integer Bilevel Linear Programming -- Outperforming Image Segmentation by Exploiting Approximate k-means Algorithms -- Approximate Decision Tree-Based Multiple Classifier Systems -- Look-Up Tables for Efficient Non-Linear Parameters Estimation -- On the UTA Methods for Solving the Model Selection Problem -- The Importance to Manage Data Protection in the Right Way: Problems and Solutions -- The Use of Configurational Analysis in the Evaluation of Real Estate Dynamic -- A Partitioning Based Heuristic for a Variant of the Simple Pattern Minimality Problem -- Patient-Centered Objectives as an Alternative to Maximum Utilisation: Comparing Surgical Case Solutions -- A Hierarchical Multi-Objective Optimisation Model for Bed Leveling and Patient Priority Maximisation -- Multi Classifier Approaches for Supporting Clinical Diagnosis -- Offline Patient Admission Scheduling Problems -- Stochastic D
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 exploit

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