Swarm Intelligence Algorithms: Modifications and Applications

Nature-based algorithms, such as swarm intelligence algorithms, are used to solve specific problems defined by an objective function. This book presents 24 swarm algorithms with modifications and practical applications, suitable for undergraduate and postgraduate students and scientists working in artificial intelligence and engineering. For more detailed information, we recommend Swarm Intelligence Algorithms: A Tutorial (Edited by A. Slowik, CRC Press, 2020).

Format: Paperback / softback
Length: 349 pages
Publication date: 30 January 2022
Publisher: Taylor & Francis Ltd

Nature-based algorithms hold a significant place within the realm of artificial intelligence algorithms, with global optimization algorithms known as swarm intelligence algorithms being prominent among them. These algorithms employ the behavior of simple agents and diverse forms of cooperation among them to tackle specific problems defined by an objective function. Drawing inspiration from the social interactions observed in various animal species, such as ant colonies, bird flocks, bee swarms, and schools of fish, swarm intelligence algorithms harness the collective intelligence and adaptive capabilities of these organisms. The family of these algorithms is extensive, encompassing a wide range of modifications designed to extend their applicability to problem domains beyond their original development.

This book offers a comprehensive exploration of 24 swarm algorithms, along with their modifications and practical applications. Each chapter focuses on a single algorithm, providing a concise description along with a pseudo-code that illustrates the various stages of its operation. Additionally, each chapter delves into selected modifications of the algorithm, showcasing how they can be applied to solve specific practical problems.

Designed with both undergraduate and postgraduate students studying nature-based optimization algorithms in mind, this book serves as a valuable resource for learning these algorithms, their modifications, and their practical implementations. It can also be a helpful tool for scientists and engineers working in the fields of artificial intelligence and engineering, who are interested in leveraging these algorithms to enhance their work.

For those seeking to delve deeper into the realm of swarm intelligence algorithms and explore more detailed information, we recommend referring to the book .

Weight: 699g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367528881