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Swarm Intelligence: An Approach from Natural to Ar tificial
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Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviors of simple agents interacting among themselves as well as with the environment, e.g., cat swarm, crow search, elephant herding, foraging of bees and ants. The collective behaviors that emerge out of the interactions at the colony level are useful in achieving complex goals.The main aim of this book is to present a sample of recent innovations and advances in techniques and swarm intelligence. Among the topics covered in this book include:* Introduction of swarm Intelligence* Foundation of swarm Intelligence* The particle Swarm and collective intelligence optimization, and complex social swarms* Application of various swarm intelligence models to operational planning of energy plants, modeling and control of robots, organic computing, techniques of cloud services, bioinspired optimization, routing protocols for next-generation networks inspired by collective behaviors of insect societies and cybernetic organisms.
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