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AI and SWARM - Evolutionary Approach to Emergent Intelligence (Paperback)
Loot Price: R1,440
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AI and SWARM - Evolutionary Approach to Emergent Intelligence (Paperback)
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This book provides theoretical and practical knowledge on AI and
swarm intelligence. It provides a methodology for EA (evolutionary
algorithm)-based approach for complex adaptive systems with the
integration of several meta-heuristics, e.g., ACO (Ant Colony
Optimization), ABC (Artificial Bee Colony), and PSO (Particle Swarm
Optimization), etc. These developments contribute towards better
problem-solving methodologies in AI. The book also covers emerging
uses of swarm intelligence in applications such as complex adaptive
systems, reaction-diffusion computing, and diffusion-limited
aggregation, etc. Another emphasis is its real-world applications.
We give empirical examples from real-world problems and show that
the proposed approaches are successful when addressing tasks from
such areas as swarm robotics, silicon traffics, image
understanding, Vornoi diagrams, queuing theory, and slime
intelligence, etc. Each chapter begins with the background of the
problem followed by the current state-of-the-art techniques of the
field, and ends with a detailed discussion. In addition, the
simulators, based on optimizers such as PSO and ABC complex
adaptive system simulation, are described in detail. These
simulators, as well as some source codes, are available online on
the author's website for the benefit of readers interested in
getting some hands-on experience of the subject. The concepts
presented in this book aim to promote and facilitate the effective
research in swarm intelligence approaches in both theory and
practice. This book would also be of value to other readers because
it covers interdisciplinary research topics that encompass
problem-solving tasks in AI, complex adaptive systems, and
meta-heuristics.
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