Handbook of Research on Swarm Intelligence in Engineering

This book PDF is perfect for those who love Computers genre, written by Bhattacharyya, Siddhartha and published by IGI Global which was released on 30 April 2015 with total hardcover pages 744. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Handbook of Research on Swarm Intelligence in Engineering books below.

Handbook of Research on Swarm Intelligence in Engineering
Author : Bhattacharyya, Siddhartha
File Size : 47,8 Mb
Publisher : IGI Global
Language : English
Release Date : 30 April 2015
ISBN : 9781466682924
Pages : 744 pages
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Handbook of Research on Swarm Intelligence in Engineering by Bhattacharyya, Siddhartha Book PDF Summary

Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored. The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted on diverse topics in intelligence technologies such as Swarm Intelligence, Machine Intelligence, Optical Engineering, and Signal Processing with the goal of advancing knowledge and applications in this rapidly evolving field. The enriched interdisciplinary contents of this book will be a subject of interest to the widest forum of faculties, existing research communities, and new research aspirants from a multitude of disciplines and trades.

Handbook of Research on Swarm Intelligence in Engineering

Swarm Intelligence has recently emerged as a next-generation methodology belonging to the class of evolutionary computing. As a result, scientists have been able to explain and understand real-life processes and practices that previously remained unexplored. The Handbook of Research on Swarm Intelligence in Engineering presents the latest research being conducted

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Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real World Problems

The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be

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Handbook of Research on Design  Control  and Modeling of Swarm Robotics

Studies on robotics applications have grown substantially in recent years, with swarm robotics being a relatively new area of research. Inspired by studies in swarm intelligence and robotics, swarm robotics facilitates interactions between robots as well as their interactions with the environment. The Handbook of Research on Design, Control, and

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Handbook of Swarm Intelligence

From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more. It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, albeit

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Handbook of Research on Artificial Intelligence Techniques and Algorithms

For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic

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Handbook of Research on Fireworks Algorithms and Swarm Intelligence

In recent years, swarm intelligence has become a popular computational approach among researchers working on optimization problems throughout the globe. Several algorithms inside swarm intelligence have been implemented due to their application to real-world issues and other advantages. A specific procedure, Fireworks Algorithm, is an emerging method that studies the

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Swarm Intelligence

Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch

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Handbook of Research on Computational Intelligence for Engineering  Science  and Business

Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on Computational Intelligence for Engineering, Science, and Business discusses the computation

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