Author: Burcu Adıgüzel Mercangöz Publisher: Springer Nature ISBN: 3030702812 Category : Business & Economics Languages : en Pages : 355
Book Description
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.
Author: Burcu Adıgüzel Mercangöz Publisher: ISBN: 9783030702823 Category : Languages : en Pages : 0
Book Description
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.
Author: May Church Publisher: States Academic Press ISBN: 9781639890248 Category : Mathematics Languages : en Pages : 242
Book Description
Particle swarm optimization can be defined as a computational method that is used to optimize a problem by iteratively trying to improve a candidate solution with respect to a given measure of quality. It is deployed to solve a problem by having a population of candidate solutions and moving them around in the search-space in accordance with simple mathematical formulae over the particle's position and velocity. Particle swarm optimization can search very large spaces of candidate solutions because it is metaheuristic and does not make any assumptions about the problem being optimized. There are various variants of particle swamp optimization such as hybridization, simplifications, multi-objective optimization, and binary, discrete, and combinational particle swamp optimization. This book elucidates the concepts and innovative models around prospective developments in relation to particle swarm optimization. Different approaches, evaluations, methodologies, and advanced studies on this topic have been included in it. This book will serve as a reference to a broad spectrum of readers.
Author: Parsopoulos, Konstantinos E. Publisher: IGI Global ISBN: 1615206671 Category : Business & Economics Languages : en Pages : 328
Book Description
"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.
Author: Brian Walker Publisher: Nova Science Publishers ISBN: 9781536108286 Category : Electric power systems Languages : en Pages : 0
Book Description
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.
Author: Maurice Clerc Publisher: John Wiley & Sons ISBN: 111861397X Category : Computers Languages : en Pages : 182
Book Description
This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies. Since its original development in 1995, PSO has mainly been applied to continuous-discrete heterogeneous strongly non-linear numerical optimization and it is thus used almost everywhere in the world. Its convergence rate also makes it a preferred tool in dynamic optimization.
Author: Andrea E. Olsson Publisher: ISBN: 9781616685270 Category : Mathematical optimization Languages : en Pages : 0
Book Description
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.
Author: Ajith Abraham Publisher: Springer ISBN: 3642140130 Category : Technology & Engineering Languages : en Pages : 385
Book Description
Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences. The existing field has its origin in the functioning of the human brain in processing information, recognizing pattern, learning from observations and experiments, storing and retrieving information from memory, etc. In particular, the power industry being on the verge of epoch changing due to deregulation, the power engineers require Computational intelligence tools for proper planning, operation and control of the power system. Most of the CI tools are suitably formulated as some sort of optimization or decision making problems. These CI techniques provide the power utilities with innovative solutions for efficient analysis, optimal operation and control and intelligent decision making. This edited volume deals with different CI techniques for solving real world Power Industry problems. The technical contents will be extremely helpful for the researchers as well as the practicing engineers in the power industry.
Author: Ahmad Hassan Sayed Aly Publisher: ISBN: Category : Configuration space Languages : en Pages : 512
Book Description
This research investigates the applicability of particle Swarm optimization (PSO) to the dynamic lot sizing problem with batch ordering.
Author: Burcu Adıgüzel Mercangöz
Author: Burcu Adıgüzel Mercangöz
Author: May Church
Author: Parsopoulos, Konstantinos E.
Author: Brian Walker
Author: Sarah Mohsen Mohy Eldin El-Said
Author: Maurice Clerc
Author: Andrea E. Olsson
Author: Ajith Abraham
Author: Ahmad Hassan Sayed Aly