Big Data Optimization: Recent Developments and Challenges, Emrouznejad
Автор: Anthony Finn; Steve Scheding Название: Developments and Challenges for Autonomous Unmanned Vehicles ISBN: 3642107036 ISBN-13(EAN): 9783642107030 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book draws upon a broad range of research with a view to creating a product greater than the sum of its parts. The topic is intentionally approached from the perspective of improving understanding rather than providing solutions or firm conclusions.
Описание: This book reports on advancedtheories and cutting-edge applications in the field of soft computing. Theindividual chapters, written by leading researchers, are based on contributionspresented during the 4th World Conference on Soft Computing, held May 25-27,2014, in Berkeley. The book covers a wealth of key topics in soft computing,focusing on both fundamental aspects and applications. The former include fuzzymathematics, type-2 fuzzy sets, evolutionary-based optimization, aggregationand neural networks, while the latter include soft computing in data analysis,image processing, decision-making, classification, series prediction,economics, control, and modeling. By providing readers with a timely,authoritative view on the field, and by discussing thought-provokingdevelopments and challenges, the book will foster new research directions inthe diverse areas of soft computing.
Описание: This book covers the most recent advances in the field of evolutionary multiobjective optimization. With the aim of drawing the attention of up-and coming scientists towards exciting prospects at the forefront of computational intelligence, the authors have made an effort to ensure that the ideas conveyed herein are accessible to the widest audience. The book begins with a summary of the basic concepts in multi-objective optimization. This is followed by brief discussions on various algorithms that have been proposed over the years for solving such problems, ranging from classical (mathematical) approaches to sophisticated evolutionary ones that are capable of seamlessly tackling practical challenges such as non-convexity, multi-modality, the presence of multiple constraints, etc. Thereafter, some of the key emerging aspects that are likely to shape future research directions in the field are presented. These include: optimization in dynamic environments, multi-objective bilevel programming, handling high dimensionality under many objectives, and evolutionary multitasking. In addition to theory and methodology, this book describes several real-world applications from various domains, which will expose the readers to the versatility of evolutionary multi-objective optimization.
Автор: Ford Lumban Gaol Название: Recent Progress in Data Engineering and Internet Technology ISBN: 364244153X ISBN-13(EAN): 9783642441530 Издательство: Springer Рейтинг: Цена: 38992.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides state-of-the-art accounts in computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.
Автор: Anthony Finn; Steve Scheding Название: Developments and Challenges for Autonomous Unmanned Vehicles ISBN: 3642262708 ISBN-13(EAN): 9783642262708 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book draws upon a broad range of research with a view to creating a product greater than the sum of its parts. The topic is intentionally approached from the perspective of improving understanding rather than providing solutions or firm conclusions.
Автор: Pardalos Название: Machine Learning, Optimization, and Big Data ISBN: 3319514687 ISBN-13(EAN): 9783319514680 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions.
Описание: This cutting-edge volume presents recent advances in the area of metaheuristic combinatorial optimisation, with a special focus on evolutionary computation methods. Moreover, it addresses local search methods and hybrid approaches.
Описание: The simplicity and applicability of OWA operators, first introduced in the 1980s, give them intuitive appeal. This volume includes papers on the underlying theory of OWA operators as well as practical applications in vital areas such as environmental modeling.
Автор: Fidanova Название: Recent Advances in Computational Optimization ISBN: 3319401319 ISBN-13(EAN): 9783319401317 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2015. It presents recent advances in computational optimization. The volume includes important real life problems like parameter settings for controlling processes in bioreactor, control of ethanol production, minimal convex hill with application in routing algorithms, graph coloring, flow design in photonic data transport system, predicting indoor temperature, crisis control center monitoring, fuel consumption of helicopters, portfolio selection, GPS surveying and so on. It shows how to develop algorithms for them based on new metaheuristic methods like evolutionary computation, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics, medicine and other domains can be formulated as optimization problems.
Автор: Herawan Название: Recent Advances on Soft Computing and Data Mining ISBN: 331951279X ISBN-13(EAN): 9783319512792 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides a comprehensive introduction and practical look at the concepts and techniques readers need to get the most out of their data in real-world, large-scale data mining projects. It also guides readers through the data-analytic thinking necessary for extracting useful knowledge and business value from the data.
The book is based on the Soft Computing and Data Mining (SCDM-16) conference, which was held in Bandung, Indonesia on August 18th–20th 2016 to discuss the state of the art in soft computing techniques, and offer participants sufficient knowledge to tackle a wide range of complex systems. The scope of the conference is reflected in the book, which presents a balance of soft computing techniques and data mining approaches. The two constituents are introduced to the reader systematically and brought together using different combinations of applications and practices. It offers engineers, data analysts, practitioners, scientists and managers the insights into the concepts, tools and techniques employed, and as such enables them to better understand the design choice and options of soft computing techniques and data mining approaches that are necessary to thrive in this data-driven ecosystem.
Описание: Combinatorial optimisation is a ubiquitous discipline whose usefulness spans vast applications domains. This title presents advances in the area of metaheuristic combinatorial optimisation, with a focus on evolutionary computation methods. It addresses local search methods and hybrid approaches.
Описание: This book provides the latest research findings and developments in the field of interactive intelligent systems, addressing diverse areas such as autonomous systems, Internet and cloud computing, pattern recognition and vision systems, mobile computing and intelligent networking, and e-enabled systems. It gathers selected papers from the International Conference on Intelligent and Interactive Systems and Applications (IISA2016) held on June 25–26, 2016 in Shanghai, China.
Interactive intelligent systems are among the most important multi-disciplinary research and development domains of artificial intelligence, human–computer interaction, machine learning and new Internet-based technologies. Accordingly, these systems embrace a considerable number of application areas such as autonomous systems, expert systems, mobile systems, recommender systems, knowledge-based and semantic web-based systems, virtual communication environments, and decision support systems, to name a few.
To date, research on interactive intelligent systems has largely focused either on the realisation of the systems’ capabilities or on the cognitive processes and/or behaviour of their users. With the rapid development of Internet-based technologies, the design of interactive intelligent systems is facing many emerging issues and challenges such as investigating the ways that artificial agents and human intelligence can collaborate for better performance, understanding user requirements and user cognitive processes, safeguarding user privacy, etc.
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