Metaheuristics For Enterprise Data Intelligence
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Metaheuristics For Enterprise Data Intelligence
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Author : Kaustubh Vaman Sakhare
language : en
Publisher: CRC Press
Release Date : 2024-08-07
Metaheuristics For Enterprise Data Intelligence written by Kaustubh Vaman Sakhare and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Computers categories.
With the emergence of the data economy, information has become integral to business excellence. Every enterprise, irrespective of its domain of interest, carries and processes a lot of data in their day-to-day activities. Converting massive datasets into insightful information plays an important role in developing better business solutions. Data intelligence and its analysis pose several challenges in data representation, building knowledge systems, issue resolution and predictive systems for trend analysis and decisionmaking. The data available could be of any modality, especially when data is associated with healthcare, biomedical, finance, retail, cybersecurity, networking, supply chain management, manufacturing, etc. The optimization of such systems is therefore crucial to leveraging the best outcomes and conclusions. To this end, AI-based nature-inspired optimization methods or approximation-based optimization methods are becoming very powerful. Notable metaheuristics include genetic algorithms, differential evolution, ant colony optimization, particle swarm optimization, artificial bee colony, grey wolf optimizer, political optimizer, cohort intelligence and league championship algorithm. This book provides a systematic discussion of AI-based metaheuristics application in a wide range of areas, including big data intelligence and predictive analytics, enterprise analytics, graph optimization algorithms, machine learning and ensemble learning, computer vision enterprise practices and data benchmarking.
Optimization Methods For Finite Element Analysis And Design
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Author : Ishaan R. Kale
language : en
Publisher: CRC Press
Release Date : 2025-07-16
Optimization Methods For Finite Element Analysis And Design written by Ishaan R. Kale and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-16 with Computers categories.
Optimization Methods for Finite Element Analysis and Design describes recent developments in Finite Element Methods (FEM). It gives a brief introduction of the applications of AI-based nature-inspired metaheuristic algorithms and machine learning (ML) at various stages of FEM. The book covers a range of state-of-the-art application areas including medical equipment, structural analysis and machinery products. It explores the applications of optimization and ML techniques in mesh smoothing, quality improvement and Laplacian and Taubin smoothing. The book also discusses the optimization of cable nets and steel frames using nature-inspired metaheuristic methods.
Graph Coloring
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Author : Maurice Clerc
language : en
Publisher: CRC Press
Release Date : 2025-06-30
Graph Coloring written by Maurice Clerc and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
This book explores the problem of minimal valid graph coloring, first in the form of games and then of resolution algorithms. Emphasis is placed on deterministic, guaranteed and non-guaranteed methods. Stochastic methods are then just mentioned because they are already widely described in previous publications. The study then details a general quantum algorithm of polynomial complexity. A final chapter provides elements of reflection on diplomatic algorithms that, for the problem of coloring under resource constraints, seek a compromise minimizing frustrations. The appendix includes some mathematical additions and the source codes of the main algorithms presented, in particular the one of the quantum method.
Automatic Generation Of Algorithms
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Author : Victor Parada
language : en
Publisher: CRC Press
Release Date : 2025-02-10
Automatic Generation Of Algorithms written by Victor Parada and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Computers categories.
In the rapidly evolving domain of computational problem-solving, this book delves into the cutting-edge Automatic Generation of Algorithms (AGA) paradigm, a groundbreaking approach poised to redefine algorithm design for optimization problems. Spanning combinatorial optimization, machine learning, genetic programming, and beyond, it investigates AGA's transformative capabilities across diverse application areas. The book initiates by introducing fundamental combinatorial optimization concepts and NPhardness significance, laying the foundation for understanding AGA's necessity and potential. It then scrutinizes the pivotal Master Problem concept in AGA and the art of modeling for algorithm generation. The exploration progresses with integrating genetic programming and synergizing AGA with evolutionary computing. Subsequent chapters delve into the AGA-machine learning intersection, highlighting their shared optimization foundation while contrasting divergent objectives. The automatic generation of metaheuristics is examined, aiming to develop versatile algorithmic frameworks adaptable to various optimization problems. Furthermore, the book explores applying reinforcement learning techniques to automatic algorithm generation. Throughout, it invites readers to reimagine algorithmic design boundaries, offering insights into AGA's conceptual underpinnings, practical applications, and future directions, serving as an invitation for researchers, practitioners, and enthusiasts in computer science, operations research, artificial intelligence, and beyond to embark on a journey toward computational excellence where algorithms are born, evolved, and adapted to meet ever-changing real-world problem landscapes.
Metaheuristics For Business Analytics
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Author : Abraham Duarte
language : en
Publisher: Springer
Release Date : 2017-11-24
Metaheuristics For Business Analytics written by Abraham Duarte and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-24 with Business & Economics categories.
This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code. Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7.
Human Centric Integration Of 6g Enabled Technologies For Modern Society
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Author : Amit Kumar Tyagi
language : en
Publisher: Elsevier
Release Date : 2025-04-29
Human Centric Integration Of 6g Enabled Technologies For Modern Society written by Amit Kumar Tyagi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Science categories.
Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges serves as a comprehensive reference, addressing the information needs of professionals by providing deep information about the fundamentals and applications of 6G, enabling them to make informed decisions in the dynamic landscape of advanced communication technologies. In the 23 chapters, this book introduces the reader to the 6G technology, the evolution of wireless communication, and the integration of artificial intelligence; provides the use cases and applications of 6G technology and the insights into the challenges, future trends, and emerging technologies; and includes the applications of 6G technology in remote healthcare services, patient monitoring, and medical diagnostics.Human-Centric Integration of 6G-Enabled Technologies for Modern Society: Fundamentals, Applications, Analysis and Challenges redefines the way we connect, communicate, and collaborate with emerging technologies in this smart era of 6G technology. The title benefits from a collective wealth of knowledge and perspectives. This diversity enriches the content, providing readers with insights from various angles, setting it apart from publications authored or edited by a limited number of individuals. - It discusses both the like fundamental concepts, diverse applications and analytical methodologies, as the challenges that come with the development and deployment of 6G-enabled technologies - It is designed to address the latest developments in 6G technology, offering a forward-looking perspective on emerging trends - It ensures that readers receive up-to-date information and insights into the rapidly evolving landscape of next-generation wireless communication
Recent Advances In Hybrid Metaheuristics For Data Clustering
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Author : Sourav De
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-02
Recent Advances In Hybrid Metaheuristics For Data Clustering written by Sourav De 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 2020-06-02 with Computers categories.
An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors noted experts on the topic provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts Offers an in-depth analysis of a range of optimization algorithms Highlights a review of data clustering Contains a detailed overview of different standard metaheuristics in current use Presents a step-by-step guide to the build-up of hybrid metaheuristics Offers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.
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.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Handbook Of Research On Strategic Performance Management And Measurement Using Data Envelopment Analysis
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Author : Osman, Ibrahim H.
language : en
Publisher: IGI Global
Release Date : 2013-08-31
Handbook Of Research On Strategic Performance Management And Measurement Using Data Envelopment Analysis written by Osman, Ibrahim H. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-31 with Business & Economics categories.
Organizations can use the valuable tool of data envelopment analysis (DEA) to make informed decisions on developing successful strategies, setting specific goals, and identifying underperforming activities to improve the output or outcome of performance measurement. The Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis highlights the advantages of using DEA as a tool to improve business performance and identify sources of inefficiency in public and private organizations. These recently developed theories and applications of DEA will be useful for policymakers, managers, and practitioners in the areas of sustainable development of our society including environment, agriculture, finance, and higher education sectors.