Swarm Intelligence Algorithms (Two Volume Set)

Swarm intelligence algorithms are nature-inspired optimization algorithms used to solve complex optimization problems. This book provides a tutorial on 24 selected algorithms and their modifications and practical applications.

Format: Paperback / softback
Length: 768 pages
Publication date: 30 January 2022
Publisher: Taylor & Francis Ltd

Swarm intelligence algorithms are a captivating form of nature-inspired optimization algorithms that draw their main inspiration from the cooperative behavior observed within specific animal communities. These algorithms encapsulate the intricate interplay of individual behaviors and the mechanisms for knowledge sharing, ultimately resulting in the complex behavior exhibited by the entire community. Examples of such behavior can be observed in ant colonies, bee swarms, schools of fish, and bird flocks.

Swarm intelligence algorithms find widespread application in solving complex optimization problems that traditional methods struggle to address. These problems often arise due to their computational complexity, making exact solving methods impractical or impossible. By harnessing the collective intelligence of a group of agents, swarm intelligence algorithms can explore vast solution spaces and identify optimal solutions efficiently.

This comprehensive set, consisting of two volumes, offers a comprehensive exploration of swarm intelligence algorithms. The first volume, titled "Swarm Intelligence Algorithms: A Tutorial," provides a thorough introduction to 24 selected algorithms from the vast family of swarm intelligence algorithms. Each chapter delves into the workings of a single algorithm, accompanied by detailed explanations, program codes in Matlab and C++, and numerical examples that demonstrate the step-by-step execution of the algorithms.

The second volume, titled "Swarm Intelligence Algorithms: Modifications and Applications," showcases selected modifications of these algorithms and their practical applications. Each chapter focuses on a particular algorithm, presenting a concise description along with a pseudo-code that outlines the various stages of its operation. Additionally, each chapter highlights selected modifications of the algorithm and demonstrates how it can be applied to solve specific practical problems.

This book serves as a valuable resource for researchers, practitioners, and students interested in the field of swarm intelligence. It provides a comprehensive foundation for understanding the principles and applications of swarm intelligence algorithms, enabling them to leverage the power of collective intelligence in solving real-world optimization challenges.

Weight: 1365g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367499488