Swarm Intelligence Algorithms: A Tutorial

Swarm intelligence algorithms are nature-inspired optimization algorithms that mimic the cooperative behavior of animals in communities. This book provides a comprehensive introduction to 24 selected swarm intelligence algorithms, with detailed pseudo-code and source code in Matlab and C++. It includes a numerical example for each algorithm, making it accessible to undergraduate and postgraduate students, researchers, and engineers interested in using these algorithms to solve computational problems.

Format: Paperback / softback
Length: 348 pages
Publication date: 30 January 2022
Publisher: Taylor & Francis Ltd

Swarm intelligence algorithms are a captivating branch of optimization algorithms that draw inspiration from the cooperative behavior observed in various animal communities. These algorithms harness the simplicity of individual behaviors and the mechanisms for knowledge sharing among individuals to create intricate and complex collective behaviors. Examples of such behavior can be found in ant colonies, bee swarms, schools of fish, and bird flocks.

Swarm intelligence algorithms find applications in solving complex optimization problems that traditional methods struggle to address. These problems often require solutions in a timely manner, making traditional approaches impractical. By leveraging the collective intelligence of a group of agents, swarm intelligence algorithms can efficiently search for optimal solutions.

This book is a comprehensive guide to the basics of 24 selected swarm intelligence algorithms. Each chapter delves into a different algorithm, providing detailed explanations and showcasing its functionality through pseudo-code. Additionally, the source code for each algorithm is provided in both Matlab and C++, making it easier for readers to understand and implement these algorithms.

To enhance the understanding of how each swarm intelligence algorithm works, a simple numerical example is included in each chapter. This example guides the reader step by step through the algorithm's stages, demonstrating all necessary calculations. By following these examples, readers can gain a deeper grasp of the underlying principles and apply them to their own programming endeavors.

This book is designed to serve as a foundational resource for those seeking to understand the workings of swarm intelligence algorithms. It is suitable for undergraduate and postgraduate students studying nature-based optimization algorithms, as well as for professionals seeking to enhance their knowledge in this field. The concise and straightforward writing style ensures that the concepts are presented in a manner that is easy to comprehend and apply.

Furthermore, this book can be a valuable tool for researchers and practitioners working in the field of artificial intelligence. It provides a comprehensive overview of the latest developments and applications in swarm intelligence algorithms, enabling researchers to stay up-to-date with the latest advancements and apply them to real-world problems.

In conclusion, Swarm Intelligence Algorithms: A Comprehensive Guide is a must-read for anyone interested in exploring the realm of optimization algorithms that harness the power of collective intelligence. With its detailed explanations, practical examples, and comprehensive source code, this book provides a solid foundation for understanding and implementing swarm intelligence algorithms in various fields. Whether you are a student, researcher, or professional, this book will undoubtedly be a valuable asset in your pursuit of knowledge and innovation.

Weight: 667g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367496142