Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications

Name: Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications
Brand: ACADEMIC PR INC
SKU: 9780443155338
Price: 159.22 EUR
Availability: InStock

Автор: Mario Koeppen, Debashis De

Език:

Корици: С меки корици

Издател: ACADEMIC PR INC

Наличност: Налично при издателя, по поръчка

Изпращаме след 28-34 дни

159.22 € 311.41 лв

Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications focuses on recent,...

Информация за книгата

Автор

Mario Koeppen, Debashis De

Език

Английски език

Корици

Книга - С меки корици

Издадена

2024

страници

415

EAN

9780443155338

ISBN

044315533X

Enbook ID

44297857

Издател

ACADEMIC PR INC

Теглоt

598

Размери

151 x 229

Пълно описание

Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications focuses on recent, up-to-date technologies, combining other intelligent tools with swarm intelligence techniques to yield robust and failsafe solutions to real world problems. This book aims to provide audiences with a platform to learn and gain insights into the latest developments in hybrid swarm intelligence. It will be useful to researchers, engineers, developers, practitioners, and graduate students working in the major and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing.

With the advent of data-intensive applications, the elimination of redundancy in disseminated information has become a serious challenge for researchers who are on the lookout for evolving metaheuristic algorithms which can explore and exploit the information feature space to derive the optimal settings for specific applications. Swarm intelligence algorithms have developed as one of the most widely used metaheuristic techniques for addressing this challenge in an effective way. Inspired by the behavior of a swarm of bees, these swarm intelligence techniques emulate the corresponding natural instincts to derive optimal solutions for data-intensive applications.

Introduces the theory underpinning hybrid swarm intelligence-enabled research as well as the leading applications across the fields of communication, networking, and information engineering
Presents a range of applications research, including signal processing, communication engineering, bioinformatics, controllers, federated learning systems, blockchain, and IoT
Includes case studies and code snippets in applications chapters

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Пълно описание

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