Particle Swarm Optimization With Applications
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Particle Swarm Optimization With Applications
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Author : Pakize Erdogmus
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-05-30
Particle Swarm Optimization With Applications written by Pakize Erdogmus and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-30 with Mathematics categories.
This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, readers can find the recent theoretical developments and applications on PSO algorithm. From the theoretical aspect, PSO has preserved its popularity because of the fast convergence rate, and a lot of hybrid algorithms have recently been developed in order to increase the performance of the algorithm. At the same time, PSO has also been used to solve different kinds of engineering optimization problems. In this book, a reader can find engineering applications of PSO, such as environmental economic dispatch and grid computing.
Particle Swarm Optimization Pso
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Author : Brian Walker
language : en
Publisher: Nova Science Publishers
Release Date : 2017
Particle Swarm Optimization Pso written by Brian Walker and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Electric power systems categories.
Particle swarm optimisation (PSO) is one of the recently developed swarm intelligent optimisation technologies that offer the advantages of simplicity and fast biological convergence. The technique originated from the theory of artificial life and evolution, which is based on the optimisation that is achieved as a result of swarm behaviour. PSO can be easily implemented due to fewer parameters for adjustment hence it has been applied broadly in various engineering fields. This book reviews advances in research and applications of PSO.
Particle Swarm Optimization With Applications
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Author : Pakize Erdoğmuş
language : en
Publisher:
Release Date : 2018
Particle Swarm Optimization With Applications written by Pakize Erdoğmuş and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Mathematics categories.
This book is intended to gather recent studies on particle swarm optimization (PSO). In this book, readers can find the recent theoretical developments and applications on PSO algorithm. From the theoretical aspect, PSO has preserved its popularity because of the fast convergence rate, and a lot of hybrid algorithms have recently been developed in order to increase the performance of the algorithm. At the same time, PSO has also been used to solve different kinds of engineering optimization problems. In this book, a reader can find engineering applications of PSO, such as environmental economic dispatch and grid computing.
Particle Swarm Optimization
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Author : Andrea E. Olsson
language : en
Publisher:
Release Date : 2011
Particle Swarm Optimization written by Andrea E. Olsson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Mathematical optimization categories.
Particle swarm optimisation (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimisation problem in a search space or model and predicts social behaviour in the presence of objectives. The PSO is a stochastic, population-based computer algorithm modelled on swarm intelligence. Swarm intelligence is based on social-psychological principles and provides insights into social behaviour, as well as contributing to engineering applications. This book presents information on particle swarm optimisation such as using mono-objective and multi-objective particle swarm optimisation for the tuning of process control laws; convergence issues in particle swarm optimisation; study on vehicle routing problems using enhanced particle swarm optimisation and others.
Particle Swarm Optimization And Intelligence Advances And Applications
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Author : Parsopoulos, Konstantinos E.
language : en
Publisher: IGI Global
Release Date : 2010-01-31
Particle Swarm Optimization And Intelligence Advances And Applications written by Parsopoulos, Konstantinos E. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-31 with Business & Economics categories.
"This book presents the most recent and established developments of Particle swarm optimization (PSO) within a unified framework by noted researchers in the field"--Provided by publisher.
Applying Particle Swarm Optimization
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Author : Burcu Adıgüzel Mercangöz
language : en
Publisher: Springer Nature
Release Date : 2021-05-13
Applying Particle Swarm Optimization written by Burcu Adıgüzel Mercangöz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-13 with Business & Economics categories.
This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz’s portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio’s decreases depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset. The book explains PSO in detail and demonstrates how to implement Markowitz’s portfolio optimization approach using PSO. In addition, it expands on the Markowitz model and seeks to improve the solution-finding process with the aid of various algorithms. In short, the book provides researchers, teachers, engineers, managers and practitioners with many tools they need to apply the PSO technique to portfolio optimization.
Particle Swarm Optimization
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-01
Particle Swarm Optimization written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-01 with Computers categories.
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.
Swarm Intelligence Optimization
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Author : Abhishek Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2021-01-07
Swarm Intelligence Optimization written by Abhishek Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-07 with Computers categories.
Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.
Particle Swarm Optimization
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Author : Alex Lazinica
language : en
Publisher: BoD – Books on Demand
Release Date : 2009-01-01
Particle Swarm Optimization written by Alex Lazinica and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Computers categories.
Particle swarm optimization (PSO) is a population based stochastic optimization technique influenced by the social behavior of bird flocking or fish schooling.PSO shares many similarities with evolutionary computation techniques such as Genetic Algorithms (GA). The system is initialized with a population of random solutions and searches for optima by updating generations. However, unlike GA, PSO has no evolution operators such as crossover and mutation. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. This book represents the contributions of the top researchers in this field and will serve as a valuable tool for professionals in this interdisciplinary field.
Handbook Of Swarm Intelligence
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Author : Bijaya Ketan Panigrahi
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-02-04
Handbook Of Swarm Intelligence written by Bijaya Ketan Panigrahi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-04 with Technology & Engineering categories.
From nature, we observe swarming behavior in the form of ant colonies, bird flocking, animal herding, honey bees, swarming of bacteria, and many more. It is only in recent years that researchers have taken notice of such natural swarming systems as culmination of some form of innate collective intelligence, albeit swarm intelligence (SI) - a metaphor that inspires a myriad of computational problem-solving techniques. In computational intelligence, swarm-like algorithms have been successfully applied to solve many real-world problems in engineering and sciences. This handbook volume serves as a useful foundational as well as consolidatory state-of-art collection of articles in the field from various researchers around the globe. It has a rich collection of contributions pertaining to the theoretical and empirical study of single and multi-objective variants of swarm intelligence based algorithms like particle swarm optimization (PSO), ant colony optimization (ACO), bacterial foraging optimization algorithm (BFOA), honey bee social foraging algorithms, and harmony search (HS). With chapters describing various applications of SI techniques in real-world engineering problems, this handbook can be a valuable resource for researchers and practitioners, giving an in-depth flavor of what SI is capable of achieving.