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Swarm Intelligence

An Approach from Natural to Artificial
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Swarm Intelligence explores the intersection of cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation to solve complex engineering problems. It delves into biologically inspired algorithms including ant, cat, crow, elephant, grasshopper, water wave and whale optimisation, as well as swarm cyborg and particle swarm optimisation techniques. The book showcases recent advances, applications, and methodologies in swarm intelligence, emphasising their use in engineering systems and computational intelligence.

Applications covered include operational planning of energy plants, robot modelling and control, organic computing, cloud service techniques, bioinspired optimisation, routing protocols inspired by insect societies, and cybernetic organisms.
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Format: Hardback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is tailored for researchers, practising engineers, and students in computational intelligence seeking to deepen their understanding of swarm intelligence techniques and their engineering applications.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description
Swarm Intelligence

This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems.

Motivated by the capability of the biologically inspired algorithms, Swarm Intelligence focuses on ant, cat, crow, elephant, grasshopper, water wave and whale optimization, swarm cyborg and particle swarm optimization, and presents recent developments and applications concerning optimization with swarm intelligence techniques. The goal of the book is to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of swarm intelligence and foundations of engineering swarm intelligent systems; as well as applications and interesting experiences using particle swarm optimization, which is at the heart of computational intelligence.

Discussed in the book are applications 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 behaviours of insect societies and cybernetic organisms.

Audience

The book is directed to researchers, practising engineers, and students in computational intelligence who are interested in enhancing their knowledge of techniques and swarm intelligence.

Series: Concise Introductions to AI and Data Science

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  • Swarm Intelligence
    Swarm Intelligence This important authored book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation by applying these insights to solving complex engineering problems. Motivated by the capability of the biologically inspired algorithms, Swarm Intelligence focuses on ant, cat, crow, elephant, grasshopper, water wave and whale optimization, swarm...
    Hardback
    $35099
    Available
    Ships in 3-4 weeks

Book Details

INFORMATION

ISBN: 9781119865063

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 28 February 2023

Country: United States

Imprint: Wiley-Scrivener

Audience: Professional and scholarly

DIMENSIONS

Weight: 631g

Pages: 256

About the Author

Kuldeep Singh Kaswan, PhD, is working in the School of Computing Science & Engineering, Galgotias University, Uttar Pradesh, India. He received his PhD in computer science from Banasthali Vidyapith, Rajasthan, and D. Engg. from Dana Brain Health Institute, Iran. His research interests are in brain-computer interface, cyborg, and data sciences.

Jagjit Singh Dhatterwal, PhD, is an associate professor in the Department of Artificial Intelligence & Data Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. He completed his doctorate in computer science from Mewar University, Rajasthan, India. He has numerous publications in international/national journals and conferences.

Avadhesh Kumar, PhD, is Pro Vice-Chancellor at Galgotias University, India. He obtained his doctorate in computer science with a specialization in software engineering from Thapar University, Patiala, Punjab. He has more than 22 years of teaching and research experience and has published more than 40 research papers in SCI international journals/conferences. His research areas are aspect-oriented programming (AOP), software metrics, software quality, component-based software development (CBSD), artificial intelligence, and autonomic computing.

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