Metaheuristic Approaches To Portfolio Optimization

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Metaheuristic Approaches To Portfolio Optimization

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Author : Ray, Jhuma
language : en
Publisher: IGI Global
Release Date : 2019-06-22

Metaheuristic Approaches To Portfolio Optimization written by Ray, Jhuma and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-22 with Business & Economics categories.

Control of an impartial balance between risks and returns has become important for investors, and having a combination of financial instruments within a portfolio is an advantage. Portfolio management has thus become very important for reaching a resolution in high-risk investment opportunities and addressing the risk-reward tradeoff by maximizing returns and minimizing risks within a given investment period for a variety of assets. Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial instruments in a financial portfolio management scenario in terms of metaheuristic approaches. It also explores common measures used for the evaluation of risks/returns of portfolios in real-life situations. Featuring research on topics such as closed-end funds, asset allocation, and risk-return paradigm, this book is ideally designed for investors, financial professionals, money managers, accountants, students, professionals, and researchers.

Metaheuristics For Portfolio Optimization

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Author : G. A. Vijayalakshmi Pai
language : en
Publisher: John Wiley & Sons
Release Date : 2017-12-27

Metaheuristics For Portfolio Optimization written by G. A. Vijayalakshmi Pai 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 2017-12-27 with Computers categories.

The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results using MATLAB implementations, over live portfolios invested across global stock universes. The book has been structured in such a way that, even novices in finance or metaheuristics should be able to comprehend and work on the hybrid models discussed in the book.

Intelligent Financial Portfolio Composition Based On Evolutionary Computation Strategies

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Author : Antonio Gorgulho
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-27

Intelligent Financial Portfolio Composition Based On Evolutionary Computation Strategies written by Antonio Gorgulho 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 2012-09-27 with Business & Economics categories.

The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.

Research Anthology On Multi Industry Uses Of Genetic Programming And Algorithms

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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2020-12-05

Research Anthology On Multi Industry Uses Of Genetic Programming And Algorithms written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-05 with Computers categories.

Genetic programming is a new and evolutionary method that has become a novel area of research within artificial intelligence known for automatically generating high-quality solutions to optimization and search problems. This automatic aspect of the algorithms and the mimicking of natural selection and genetics makes genetic programming an intelligent component of problem solving that is highly regarded for its efficiency and vast capabilities. With the ability to be modified and adapted, easily distributed, and effective in large-scale/wide variety of problems, genetic algorithms and programming can be utilized in many diverse industries. This multi-industry uses vary from finance and economics to business and management all the way to healthcare and the sciences. The use of genetic programming and algorithms goes beyond human capabilities, enhancing the business and processes of various essential industries and improving functionality along the way. The Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms covers the implementation, tools and technologies, and impact on society that genetic programming and algorithms have had throughout multiple industries. By taking a multi-industry approach, this book covers the fundamentals of genetic programming through its technological benefits and challenges along with the latest advancements and future outlooks for computer science. This book is ideal for academicians, biological engineers, computer programmers, scientists, researchers, and upper-level students seeking the latest research on genetic programming.

Artificial Intelligence And Knowledge Processing

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Author : Hemachandran K
language : en
Publisher: Springer Nature
Release Date : 2024-08-19

Artificial Intelligence And Knowledge Processing written by Hemachandran K and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-19 with Computers categories.

This book constitutes the Revised Selected Papers of the Third International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2023, held in Hyderabad, India, during October 6–8, 2023. The 20 full papers and 8 short papers were carefully selected from 118 submissions. The research areas include: Artificial Intelligence and Machine Learning; Deep Learning and Computer Vision; Natural Language Processing; Intelligent Control.

Metaheuristic Algorithms And Optimizing Neural Networks For Biomedical Image Processing

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Author : Balaji, Prasanalakshmi
language : en
Publisher: IGI Global
Release Date : 2025-08-06

Metaheuristic Algorithms And Optimizing Neural Networks For Biomedical Image Processing written by Balaji, Prasanalakshmi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Medical categories.

Metaheuristic algorithms emerge as powerful tools for optimizing complex systems, particularly in neural networks, where traditional methods may cause challenges. In biomedical image processing, the integration of metaheuristics like genetic algorithms, particle swarm optimization, and differential evolution offers promising improvements in neural network performance. These algorithms help improve hyperparameters and optimize architectures, enhancing the accuracy of tasks like disease detection, image segmentation, and classification. Further research into this convergence between metaheuristic optimization and deep learning may help advance medical diagnostics and healthcare technologies. Metaheuristic Algorithms and Optimizing Neural Networks for Biomedical Image Processing explores the optimization of neural networks for biomedical image analysis. It provides valuable insights into advanced image processing for improved healthcare, advanced technology, and potential scientific and computational breakthroughs. This book covers topics such as medical imaging, genetics, and psychology, and is a useful resource for business owners, computer engineers, medical professionals, academicians, researchers, and data scientists.

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.

Adaptive Scalarization Methods In Multiobjective Optimization

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Author : Gabriele Eichfelder
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-06

Adaptive Scalarization Methods In Multiobjective Optimization written by Gabriele Eichfelder 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 2008-05-06 with Computers categories.

This book presents adaptive solution methods for multiobjective optimization problems based on parameter dependent scalarization approaches. Readers will benefit from the new adaptive methods and ideas for solving multiobjective optimization.

Metaheuristic And Machine Learning Optimization Strategies For Complex Systems

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Author : R., Thanigaivelan
language : en
Publisher: IGI Global
Release Date : 2024-07-17

Metaheuristic And Machine Learning Optimization Strategies For Complex Systems written by R., Thanigaivelan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.

In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory usage can be substantial. Developing and implementing novel heuristic algorithms is time-consuming, yet even minor improvements in solutions can significantly reduce computational costs. In such scenarios, the creation of heuristics and metaheuristic algorithms has proven advantageous. The convergence of machine learning and metaheuristic algorithms offers a promising approach to address these challenges. Metaheuristic and Machine Learning Optimization Strategies for Complex Systems covers all areas of comprehensive information about hyper-heuristic models, hybrid meta-heuristic models, nature-inspired computing models, and meta-heuristic models. The key contribution of this book is the construction of a hyper-heuristic approach for any general problem domain from a meta-heuristic algorithm. Covering topics such as cloud computing, internet of things, and performance evaluation, this book is an essential resource for researchers, postgraduate students, educators, data scientists, machine learning engineers, software developers and engineers, policy makers, and more.

Computational Intelligence Applications In Business Intelligence And Big Data Analytics

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Author : Vijayan Sugumaran
language : en
Publisher: CRC Press
Release Date : 2017-06-26

Computational Intelligence Applications In Business Intelligence And Big Data Analytics written by Vijayan Sugumaran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-26 with Computers categories.

There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.