Bücher der Reihe Studies in Computational Intelligence

This book focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.

However, even if in most cases the used intelligent techniques are due to Artificial - telligence, sometimes, simple human intelligence can find interesting solutions in cases where traditional Computer Graphics techniques, even combined with Artificial Intelligence ones, cannot propose any satisfactory solution.

This idea motivated us to prepare the book on Advances in Music Information Retrieval. It is divided into four sections: MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval.

This book touches on a range of topics in semantics demonstrating that theory and methods are inherent in the development of tools and applications and inversely that the application is also inherent in the motivation and presentation of tools and methods.

On the other hand it analyzes the new implementation perspectives for intelligent adaptive learning and collaborative systems that are brought by the advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems.

Transistor-level design for complex mixed-signal systems-on-chip remains difficult to automate. This book shows how a modified genetic algorithm kernel can improve efficiency in the analog IC design cycle and includes a worked example of the method.

This book develops multi-agent learning algorithms that achieve new objectives not previously attained. In particular the text examines learning in the presence of Markovian agent behavior, which has not been studied or modeled before in a MAL context.

Based on the most advanced experimental results and tests, this volume presents a modular switching fuzzy logic controller that embodies today's trend in intelligent control, combining differing technologies to create a powerful next-generation hybrid.

This major contribution to the development of social informatics shows how information systems can realize social goals, use social concepts, or become sources of information about social phenomena. All of these research directions are present in this book.

While the early interest in AI was mainly triggered by the desire to develop artifacts that show the same intelligent behavior as humans, nowadays scientists have realized that research in AI involves a multitude of separate challenges, besides the traditional goal to replicate human intelligence.

This compendium of soft computing methods reflects the explosion of interest in and opportunities for the design and development of microwave components. It shows how to develop and use soft computing methods for tackling challenging microwave design problems.

For over fifty years now, the famous problem of flow shop and job shop scheduling has been receiving the attention of researchers in operations research, engineering, and computer science. Over the past several years, there has been a spurt of interest in computational intelligence heuristics and metaheuristics for solving this problem.

A key area of research in intelligent systems development is focused on knowledge and information management, which is regarded as the crucial issue in smart decision-making support. The chapters of this book are a representative sample of this research.

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts.

This book highlights key recent advances made in the application of soft computing techniques in pavement and geomechanical systems. It discusses many different soft computing techniques and details various areas of application.

Intelligent Distributed Computing III presents the current research in the field in one comprehensive reference. Topics like actor-agent systems, agent-based simulation, autonomic computing and distributed data mining are among the many areas discussed.

This book on advances in complex networks contains the results of the First International Workshop on Complex Networks, CompleNet 2009. It covers significant aspects of network structure and dynamics, both from the analytical and the empirical point of view.

Logistics and supply chain management deal with managing the ?ow of goods or services within a company, from suppliers to customers, and along a supply chain where companies act as suppliers as well as customers.

This volume introduces a formal representation framework for modelling and reasoning, that allows us to quantify the uncertainty inherent in the use of vague descriptions to convey information between intelligent agents.

To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.

The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.

Wireless Sensor Network Technologies for Information Explosion Era The amount and value of information available due to rapid spread of information technology is exploding.

Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences.

Recruitment learning facilitates the acquisition of new knowledge to build and extend knowledge bases and ontologies as an artificial intelligence technique. This book provides an overview of recruitment learning approaches from a computational perspective.

Case-based reasoning (CBR) is an Artificial Intelligence (AI) technique to support the capability of reasoning and learning in advanced decision support systems.

The plethora of innovations in defence support systems cannot be covered in a single publication, so this volume presents a sample of current research including the optimisation of convoy movement and machine vision algorithms for in-flight UAV refueling.

In this volume, first we formulate a framework of fuzzy types to represent both partial truth and uncertainty about concept and relation types in conceptual graphs. Like fuzzy attribute values, fuzzy types also form a lattice laying a common ground for lattice-based computationof fuzzy granules.

There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself.

Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare.

Context-aware ranking is an important task in search engine ranking. This book presents a generic method for context-aware ranking as well as its application. It applies this general theory to the three scenarios of item, tag and sequential-set recommendation.