Particle Swarm Optimization: Fundamentals and Applications

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What Is Particle Swarm Optimization


Particle swarm optimization, often known as PSO, is a computer method that was developed in the field of computational science. This method optimizes a problem by iteratively trying to improve a candidate solution with relation to a specific measure of quality. It solves a problem by having a population of potential solutions, which are referred to as particles here, and moving these particles around in the search space in accordance with a basic mathematical formula over the particle's position and velocity. This method is called particle-based search. The movement of each particle is led toward the best known positions in the search space, which are updated when better places are identified by other particles. However, the movement of each particle is also impacted by its best known position in its local region. It is anticipated that this will direct the hive toward the optimal options.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Particle swarm optimization


Chapter 2: Particle filter


Chapter 3: Swarm intelligence


Chapter 4: Bees algorithm


Chapter 5: Fish School Search


Chapter 6: Artificial bee colony algorithm


Chapter 7: Derivative-free optimization


Chapter 8: Multi-swarm optimization


Chapter 9: Dispersive flies optimisation


Chapter 10: Metaheuristic


(II) Answering the public top questions about particle swarm optimization.


(III) Real world examples for the usage of particle swarm optimization in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of particle swarm optimization' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of particle swarm optimization.

Om författaren

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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