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Dynamic Programming
  • Language: en
  • Pages: 383

Dynamic Programming

This book provides a practical introduction to computationally solving discrete optimization problems using dynamic programming. From the examples presented, readers should more easily be able to formulate dynamic programming solutions to their own problems of interest. We also provide and describe the design, implementation, and use of a software tool that has been used to numerically solve all of the problems presented earlier in the book.

Applied Graph Theory in Computer Vision and Pattern Recognition
  • Language: en
  • Pages: 265

Applied Graph Theory in Computer Vision and Pattern Recognition

  • Type: Book
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  • Published: 2007-04-11
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  • Publisher: Springer

This book presents novel graph-theoretic methods for complex computer vision and pattern recognition tasks. It presents the application of graph theory to low-level processing of digital images, presents graph-theoretic learning algorithms for high-level computer vision and pattern recognition applications, and provides detailed descriptions of several applications of graph-based methods to real-world pattern recognition tasks.

Artificial Neural Networks in Vehicular Pollution Modelling
  • Language: en
  • Pages: 250

Artificial Neural Networks in Vehicular Pollution Modelling

  • Type: Book
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  • Published: 2006-10-24
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  • Publisher: Springer

This book provides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models. It takes into account meteorological and traffic aspects. The book will be useful for professionals and researchers working in problems associated with urban air pollution management and control

Emergent Intelligence of Networked Agents
  • Language: en
  • Pages: 258

Emergent Intelligence of Networked Agents

  • Type: Book
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  • Published: 2007-04-25
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  • Publisher: Springer

The study of intelligence emerged from interactions among agents has been popular. In this study it is recognized that a network structure of the agents plays an important role. The current state-of-the art in agent-based modeling tends to be a mass of agents that have a series of states that they can express as a result of the network structure in which they are embedded. Agent interactions of all kinds are usually structured with complex networks. The idea of combining multi-agent systems and complex networks is also particularly rich and fresh to foster the research on the study of very large-scale multi-agent systems. Yet our tools to model, understand, and predict dynamic agent interact...

Evolutionary Computation in Dynamic and Uncertain Environments
  • Language: en
  • Pages: 614

Evolutionary Computation in Dynamic and Uncertain Environments

This book compiles recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The book is motivated by the fact that some degree of uncertainty is inevitable in characterizing any realistic engineering systems. Discussion includes representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums.

Computational Intelligence in Reliability Engineering
  • Language: en
  • Pages: 412

Computational Intelligence in Reliability Engineering

  • Type: Book
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  • Published: 2006-12-13
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  • Publisher: Springer

This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in recent years. It also contains chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques.

Evolutionary Scheduling
  • Language: en
  • Pages: 631

Evolutionary Scheduling

  • Type: Book
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  • Published: 2007-04-25
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  • Publisher: Springer

Evolutionary scheduling is a vital research domain at the interface of artificial intelligence and operational research. This edited book gives an overview of many of the current developments in the large and growing field of evolutionary scheduling. It demonstrates the applicability of evolutionary computational techniques to solve scheduling problems, not only to small-scale test problems, but also fully-fledged real-world problems.

Computational Mind: A Complex Dynamics Perspective
  • Language: en
  • Pages: 698

Computational Mind: A Complex Dynamics Perspective

  • Type: Book
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  • Published: 2007-05-16
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  • Publisher: Springer

This is a graduate–level monographic textbook in the field of Computational Intelligence. It presents a modern dynamical theory of the computational mind, combining cognitive psychology, artificial and computational intelligence, and chaos theory with quantum consciousness and computation. The book introduces to human and computational mind, comparing and contrasting main themes of cognitive psychology, artificial and computational intelligence.

Contributions to Ubiquitous Computing
  • Language: en
  • Pages: 350

Contributions to Ubiquitous Computing

  • Type: Book
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  • Published: 2007-04-18
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  • Publisher: Springer

This book takes a holistic view on mobile and distributed computing systems. It presents innovative solutions at all system layers. These range from hardware over vertical and horizontal infrastructure services and novel middleware techniques to various types of application software. Some chapters address core properties of ubiquitous applications including mobility, self-healing and self-organization of both technical and social-technical systems.

Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling
  • Language: en
  • Pages: 738

Neuro-Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling

  • Type: Book
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  • Published: 2007-04-11
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  • Publisher: Springer

This book represents a comprehensive introduction into both conceptual and rigorous brain and cognition modelling. It is devoted to understanding, prediction and control of the fundamental mechanisms of brain functioning. The reader will be provided with a scientific tool enabling him or her to perform a competitive research in brain and cognition modelling. This is a graduate–level monographic textbook.