Bøger i Studies in Computational Intelligence serien

The main goal of this book is to provide a state of the art of hybrid metaheuristics. Readers learn to solve large scale problems quickly and efficiently combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning.

Innovations in Defence Support Systems - 2 presents a sample of the state-of-art research on defence support systems.

Publishes developments and advances in the various areas of computational intelligence. This title selects 22 papers that were presented at the 1st ACIS International Conference on Computers, Networks, Systems, and Industrial Engineering (CNSI 2011) that was held on May23-25, 2011 in Jeju, Jeju Island, South Korea.

During the last decade, Knowledge Discovery and Management (KDM or, in French, EGC for Extraction et Gestion des connaissances) has been an intensive and fruitful research topic in the French-speaking scientific community.

This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing.

The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation.

This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and sel¿sh decision makers.The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making.Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems.In particular, analyses and experiments are presented which concern:¿ task allocation to maximize ¿the wisdom of the crowd¿;¿ design of a society of ¿edutainment¿ robots who account for one anothers¿ emotional states;¿ recognizing and counteracting seemingly non-rational human decision making;¿ coping with extreme scale when learning causality in networks;¿ ef¿ciently incorporating expert knowledge in personalized medicine;¿ the effects of personality on risky decision making.The volume is a valuable source for researchers, graduate students and practitioners in machine learning, stochastic control, robotics, and economics, among other ¿elds.

This book presents an introduction to new and important research in the images processing and analysis area. It is hoped that this book will be useful for scientists and students involved in many aspects of image analysis.

The present book includes a set of selected extended papers from the first International Joint Conference on Computational Intelligence (IJCCI 2009), held in Madeira, Portugal, from 5 to 7 October 2009.

This book presents and applies emerging new methods and applied in the design optimization of different devices and systems. It features edited papers from the International Symposium on Electromagnetic Fields in Electrical Engineering ISEF'09.

This book features state-of-art research on defense support systems. Written by leading experts in the field, it focuses on intelligent paradigms in security and includes a sample of recent advances in intelligent monitoring.

Covering a plethora of aspects of this developing field, this book explores the latest applications of virtual reality to psychotherapy, rehabilitation and neurological assessment. It ranges from VR's use in conditions from PTSD to amblyopia in children.

For this book, the editors invited contributions from indispensable research areas relevant to "chance discovery", which has been defined as the discovery of events significant for making a decision, and studied since 2000. The chapters contain contributions to identifying rare or hidden events and explaining their significance.

This volume provides the academic and industrial community with a medium for presenting original research and applications related to information assurance and security using computational intelligence techniques.

This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field.

The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies.

The scope of this volume is to give to the reader a wide scenario of recent works characterized by a synergistic combination of Soft Computing area with recent trends of Distributed Artificial Intelligence and Ambient Intelligence.

In this rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? Here, two highly qualified scientists edit a volume that takes the angle of computational hydrology and envision one of the science¿s future directions ¿ namely, the quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences.

This book compiles some of the latest research in cooperation between robots and sensor networks. The chapters are organized into four parts namely multi-robots systems, data fusion and localization, security and dependability, and mobility.

The contributions include: personalized stress diagnosis system, image analysis system for breast cancer diagnosis, analysis of neuronal cell images, structure prediction of protein, relationship between two mental disorders, detection of cardiac abnormalities, holistic medicine based treatment and analysis of life-science data.

This volume constitutes the proceedings of the Fourth International Conference on Computer Science and Its Applications, CIIA 2013. Coverage includes computational intelligence, security network technologies, information technology, and computer systems.

The book is organized into five parts, which are: Advanced Optimization Methods and Their Applications, Queuing Theory and Applications, Computational Methods for Knowledge Engineering, Knowledge Engineering with Cloud and Grid Computing, and Logic Based Methods for Decision Making and Data Mining, respectively.

Presenting the latest advances in computational intelligence, this book covers advanced design methodologies, algorithms and implementation techniques, including navigation, localization and mapping of mobile robots, and neuro-fuzzy based approaches.

The present book includes a set of selected extended papers from the sixth International Joint Conference on Computational Intelligence (IJCCI 2014), held in Rome, Italy, from 22 to 24 October 2014.

This volume is an initiative undertaken by the IEEE Computational Intelligence Society's Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions.

This book at hand explores emerging scientific and technological areas in which Intelligent Computing Systems provide efficient solutions and, thus, may play a role in the years to come.

This volume gathers the peer reviewed papers which were presented at the 5th edition of the International Workshop ¿Service Orientation in Holonic and Multi-agent Man-ufacturing ¿ SOHOMA¿15¿ organized in November 5-6, 2015 by the Institute for Manufacturing (IfM) of the University of Cambridge, UK in collaboration with the CIMR Research Centre in Computer Integrated Manufacturing and Robotics of the University Politehnica of Bucharest, Romania, the LAMIH Laboratory of Industrial and Human Automation Control, Mechanical Engineering and Computer Science of the University of Valenciennes and Hainaut-Cambrésis, France and the CRAN Re-search Centre for Automatic Control, Nancy of the University of Lorraine, France.The book is structured in seven parts, each one grouping a number of chapters de-scribing research in actual domains of the digital transformation in manufacturing and trends in future manufacturing control: (1) Applications of Intelligent Products; (2) Advances in Control of Physical Internet and Interconnected Logistics; (3) Sustaina-bility Issues in Intelligent Manufacturing Systems; (4) Holonic and Multi-agent Sys-tem Design for Industry and Services; (5) Service Oriented Enterprise Management and Control; (6) Cloud and Computing-oriented Manufacturing; (7) Smart Grids and Wireless Sensor Networks.These seven evolution lines have in common concepts, methodologies and imple-menting solutions for the Digital Transformation of Manufacturing. The book offers an integrated vision on complexity, big data and virtualization in service- and compu-ting-oriented manufacturing, combining emergent information and communication technologies, control with distributed intelligence and MAS implementation for total

This volume comprises a selection of works presented at the Numerical and Evolutionary Optimization (NEO) workshop held in September 2015 in Tijuana, Mexico. The development of powerful search and optimization techniques is of great importance in today¿s world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are commonly applied in this area: (i) traditional numerical optimization techniques and (ii) comparatively recent bio-inspired heuristics. Both paradigms have their unique strengths and weaknesses, allowing them to solve some challenging problems while still failing in others.The goal of the NEO workshop series is to bring together people from these and related fields to discuss, compare and merge their complimentary perspectives in order to develop fast and reliable hybrid methods that maximize the strengths and minimize the weaknesses of the underlying paradigms. Through this effort, we believe that the NEO can promote the development of new techniques that are applicable to a broader class of problems. Moreover, NEO fosters the understanding and adequate treatment of real-world problems particularly in emerging fields that affect us all such as health care, smart cities, big data, among many others. The extended papers the NEO 2015 that comprise this book make a contribution to this goal.