Uncertainty Management in Simulation-Optimization of Complex Systems

Algorithms and Applications

Business & Finance, Management & Leadership, Operations Research
Cover of the book Uncertainty Management in Simulation-Optimization of Complex Systems by , Springer US
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781489975478
Publisher: Springer US Publication: June 29, 2015
Imprint: Springer Language: English
Author:
ISBN: 9781489975478
Publisher: Springer US
Publication: June 29, 2015
Imprint: Springer
Language: English

​This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together — as chapter contributors — researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors’ goal is to take advantage of such a multidisciplinary environment, to offer to the 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, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities,  and authors or buyers of related publications.​

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

​This book aims at illustrating strategies to account for uncertainty in complex systems described by computer simulations. When optimizing the performances of these systems, accounting or neglecting uncertainty may lead to completely different results; therefore, uncertainty management is a major issues in simulation-optimization. Because of its wide field of applications, simulation-optimization issues have been addressed by different communities with different methods, and from slightly different perspectives. Alternative approaches have been developed, also depending on the application context, without any well-established method clearly outperforming the others. This editorial project brings together — as chapter contributors — researchers from different (though interrelated) areas; namely, statistical methods, experimental design, stochastic programming, global optimization, metamodeling, and design and analysis of computer simulation experiments. Editors’ goal is to take advantage of such a multidisciplinary environment, to offer to the 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, also accounting for potential real-world applications to improve also the state-of-the-practice. Besides researchers and scientists of the field, the primary audience for the proposed book includes PhD students, academic teachers, as well as practitioners and professionals. Each of these categories of potential readers present adequate channels for marketing actions, e.g. scientific, academic or professional societies, internet-based communities,  and authors or buyers of related publications.​

More books from Springer US

Cover of the book Air Pollution Effects on Biodiversity by
Cover of the book Captopril and Hypertension by
Cover of the book Electrostatic and Stereoelectronic Effects in Carbohydrate Chemistry by
Cover of the book The Ocean Basins and Margins by
Cover of the book The Collected Works of L. S. Vygotsky by
Cover of the book Superior-Order Curvature-Correction Techniques for Voltage References by
Cover of the book The Primate Ovary by
Cover of the book Asian American Mental Health by
Cover of the book Extraordinary Disorders of Human Behavior by
Cover of the book Mobile Communication Systems by
Cover of the book Biotic Homogenization by
Cover of the book Successful Prevention Programs for Children and Adolescents by
Cover of the book Critical Reviews in Tropical Medicine by
Cover of the book Computers, Jobs, and Skills by
Cover of the book Consultation-Liaison Psychiatry by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy