Uncertainty Management in Simulation-Optimization of Complex Systems / Operations Research/Computer Science Interfaces Series Bd.59 (PDF)
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This book illustrates strategies to account for uncertainty in complex systems as described by computer simulations. When optimizing the performances of these systems, accounting for or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issue in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from somewhat different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others.
The book brings together researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. The aim of this editorial work is to take advantage of such a multidisciplinary environment to give readers a much deeper understanding of the commonalities and differences of the various approaches to simulation-based optimization, especially in uncertain environments. Editors aim to offer a bibliographic reference on the topic, enabling interested readers to learn about the state-of-the-art in this research area, while also accounting for potential real-world applications. Besides researchers and scientists in the field, the primary audience for the book includes Ph.D. students, academic teachers, and practitioners.
The editors have been the recipients of a European Science Foundation award (STRAT01-EW11-068) for the organization of the Strategic Workshop "Uncertainty management in simulation-optimization of complex systems: algorithms and applications", held in Rome from 9th to 12th May 2012, which foster an in-depth trans-disciplinary discussion on the topic of this book.
Throughout these years she has been involved in several national and international research projects funded by academic organizations and private companies, including the recent cooperation in the FP7 STAR*AgroEnergy research project, led by University of Foggia.
Her research mostly focuses on designing mathematical models and computer simulation models for complex systems investigation, with a specific focus on metamodeling approaches and uncertainty management, the final aim being the development of a Decision Support System, supporting managers and stakeholders from the relevant domain(s) in their decision-making processes. Applications of the designed methodological frameworks spread from engineering to management, economics and health care. This research activity resulted in several publications on international journals and books.
Carlo Meloni is an Assistant Professor of Systems Engineering and Optimization at the Politecnico di Bari (Italy). His main research and professional interests concern the theory and the applications of optimization, simulation and other OR/MS methodologies.
He took part in research projects promoted by the MIUR (Italian Ministry of Education, University and Research), academy, research centers, companies and organizations from both for-profit and nonprofit sectors. His
Currently, he is a researcher affiliated with INDAM (Istituto Nazionale di Alta Matematica "F. Severi", Italy) and CNR-IAC (Istituto per le Applicazioni del Calcolo "M. Picone", Italy).
- 2015, 2015, 271 Seiten, Englisch
- Herausgegeben: Gabriella Dellino, Carlo Meloni
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1489975470
- ISBN-13: 9781489975478
- Erscheinungsdatum: 29.06.2015
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