An overview of fundamentals of Particle Swarm Optimization: Metaheuristic Algorithms with Python

by Itzel Aranguren Navarro, Arturo Valdivia González

" An Overview of Fundamentals of Particle Swarm Optimization" is a book focusing on Particle Swarm Optimization (PSO), a powerful metaheuristic algorithm for solving optimization problems. Written in Python, the book explores the fundamental ideas and operators of PSO and thoroughly reviews various variations of the algorithm. It also covers essential concepts in mathematical optimization and metaheuristic algorithms.The book introduces readers to the basics of optimization problems and the need for efficient algorithms to solve them. It then dives into the core concepts of PSO, explaining how particles, their positions, velocities, and fitness evaluations interact to find the optimal solution.The Python programming language is utilized throughout the book to implement PSO and demonstrate its effectiveness. Readers are provided with code examples and explanations that illustrate the step-by-step implementation of PSO, making it accessible to both beginners and experienced programmers.In addition to the fundamental concepts, the book delves into various variations and extensions of PSO, such as adaptive PSO, constrained PSO, and hybrid PSO algorithms. Each variation is carefully explained, highlighting its advantages, limitations, and practical applications.Overall, " An Overview of Fundamentals of Particle Swarm Optimization" serves as a valuable resource for readers interested in learning and implementing PSO. Its use of the Python programming language offers the advantage of practical code examples and facilitates experimentation and understanding. The book equips readers with the necessary knowledge to apply PSO effectively and provides insights into mathematical optimization and metaheuristic concepts.

54 pages, Kindle Edition

Published May 17, 2023