The idea of universal connectivity has led to the concept of ad hoc networks. Ad hoc networks are self-configuring, self-organizing networks that are formed on the fly. This book studies the performance of a dynamic, self-adaptive routing paradigm known as 'ant routing'; analyzing the behavior of searching and how it performs on graph topologies.

Readers will progress from an understanding of what the Internet is now towards an understanding of the motivations and techniques that will drive its future.

This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2009, held in Kuopio, Finland, in April 2009. The 63 revised full papers presented were carefully reviewed and selected from a total of 112 submissions. The papers are organized in topical sections on neutral networks, evolutionary computation, learning, soft computing, bioinformatics as well as applications.

This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Ad Hoc Networks, ADHOCNETS 2013, held in Barcelona, Spain, in October 2013. The 14 revised full papers presented were carefully selected and reviewed from numerous submissions and cover a wide range of applications, commercial and military such as mobile ad hoc networks, sensor networks, vehicular networks, underwater networks, underground networks, personal area networks, home networks and large-scale metropolitan networks for smart cities. They are organized in topical sections on wireless sensor networks, routing, applications and security.

Technology is taking us to a world where myriads of networked devices interact with the physical world in multiple ways and at multiple scales. This book presents a comprehensive overview of the most promising research directions in the area of bio-inspired computing. According to the broad spectrum addressed by the different chapters, a rich variety of biological principles and their application to ICT systems are presented.

This book provides a compilation on the state-of-the-art and recent advances of evolutionary computation for dynamic optimization problems. The motivation for this book arises from the fact that many real-world optimization problems and engineering systems are subject to dynamic environments, where changes occur over time. Key issues for addressing dynamic optimization problems in evolutionary computation, including fundamentals, algorithm design, theoretical analysis, and real-world applications, are presented. "Evolutionary Computation for Dynamic Optimization Problems" is a valuable reference to scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, nature- and bio-inspired computing, and evolutionary computation.