Optimization And Control For Systems In The Big Data Era
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Optimization and Control for Systems in the Big-Data Era
This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business operations and engineering applications, there are huge amounts of data that can overwhelm computing resources of large-scale systems. This “big data” provides new opportunities to improve decision making and addresses risk for individuals as well in organizations. While utilizing data smartly can enhance decision making, how to use and incorporate data into the decision making framework remains a challenging topic. Ultimately the chapters in this book present new models and frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five parts. Part I offers reviews on optimization and control theories, and Part II examines the optimization and control applications. Part III provides novel insights and new findings in the area of financial optimization analysis. The chapters in Part IV deal with operations analysis, covering flow-shop operations and quick response systems. The book concludes with final remarks and a look to the future of big data related optimization and control problems.
Engineering and Technology Management in Challenging Times
The book is an important resource to effectively combat these challenges and guide businesses and institutions toward success. Today's world is experiencing a period in which, on the one hand, technical advances, innovations, and changes are developing at an increasingly rapid pace, and on the other hand, uncertain global challenges are emerging. Managers in the field of engineering and technology must skillfully manage this complexity and uncertainty. Reasons to Consider Reading This Book: · Acquiring advanced methodologies and tools to efficiently oversee engineering and technology projects, especially in highly volatile circumstances. · Gaining valuable insights from industry experts and experienced professionals as they impart their knowledge, expertise, and groundbreaking ideas. · Experiencing practical approaches for learning effective strategies and tangible techniques to improve productivity, maximize resources, and promote creativity. The book helps · Engineers and technologists to be able to find solutions to the problems they encounter with the most up-to-date methods. · Business leaders to be able to have a deep understanding of how to effectively leverage technology to achieve strategic advantage and ensure the resilience of their companies · Students and educators to be able to acquire new knowledge by combining academic knowledge with practical application This book serves as a comprehensive guide that provides a clear path to adaptability, creativity, and achievement in an uncertain global landscape. The book emphasizes “Do not merely endure the difficulties and solve them; improve, shape, and take charge with assurance”.
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications
Author: Arun Kumar Sangaiah
language: en
Publisher: Academic Press
Release Date: 2018-08-21
Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. - Presents a brief overview of computational intelligence paradigms and its significant role in application domains - Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches - Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing - Provides new advances in the fields of CI for bio-engineering application