Handbook Of Whale Optimization Algorithm

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• Author : Seyedali Mirjalili
• Publisher : Academic Press
• Release Date : 2023-06-01
• Total pages : 0
• ISBN : 0323953654
• File Size : 52,5 Mb
• Total Download : 732
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Download Handbook of Whale Optimization Algorithm in PDF, Epub, and Kindle

Metaheuristics are general-purpose problem-solving Artificial Intelligence techniques that can be used to solve any sort of optimization problems subject to proper configuration. Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides the most in-depth look at an emerging meta-heuristic that has been widely used in both science and industry. Whale Optimization Algorithm has been cited more than 5000 times in Google Scholar. Solving optimization problems using this algorithm requires addressing a number of challenges including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters, just to name a few. This handbook provides readers with in-depth analysis. of this algorithm and the existing methods in the literature to cope with such challenges. The authors and editors also propose several improvements, variants, and hybrids of this algorithm. Several applications are also covered to demonstrate the applicability of methods in this book.

• Author : Seyedali Mirjalili
• Publisher : CRC Press
• Release Date : 2022-09-20
• Total pages : 347
• ISBN : 9781000655605
• File Size : 49,8 Mb
• Total Download : 862
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Download Handbook of Moth-Flame Optimization Algorithm in PDF, Epub, and Kindle

Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. Solving optimization problem using this algorithm requires addressing a number of challenges, including multiple objectives, constraints, binary decision variables, large-scale search space, dynamic objective function, and noisy parameters. Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications provides an in-depth analysis of this algorithm and the existing methods in the literature to cope with such challenges. Key Features: Reviews the literature of the Moth-Flame Optimization algorithm Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm Introduces several applications areas of the Moth-Flame Optimization algorithm This handbook will interest researchers in evolutionary computation and meta-heuristics and those who are interested in applying Moth-Flame Optimization algorithm and swarm intelligence methods overall to different application areas.

• Author : Ali Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
• Publisher : Springer Nature
• Release Date : 2022-08-31
• Total pages : 282
• ISBN : 9783031075124
• File Size : 22,6 Mb
• Total Download : 830
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Download Handbook of Nature-Inspired Optimization Algorithms: The State of the Art in PDF, Epub, and Kindle

The introduction of nature-inspired optimization algorithms (NIOAs), over the past three decades, helped solve nonlinear, high-dimensional, and complex computational optimization problems. NIOAs have been originally developed to overcome the challenges of global optimization problems such as nonlinearity, non-convexity, non-continuity, non-differentiability, and/or multimodality which traditional numerical optimization techniques had difficulties solving. The main objective for this book is to make available a self-contained collection of modern research addressing the general bound-constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

• Author : Ali Wagdy Mohamed,Diego Oliva,Ponnuthurai Nagaratnam Suganthan
• Publisher : Springer Nature
• Release Date : 2022-09-03
• Total pages : 220
• ISBN : 9783031075162
• File Size : 9,9 Mb
• Total Download : 217
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Download Handbook of Nature-Inspired Optimization Algorithms: The State of the Art in PDF, Epub, and Kindle

This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency. The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

• Author : S. Sasikala,D. Renuka Devi
• Publisher : CRC Press
• Release Date : 2023-05-04
• Total pages : 310
• ISBN : 9781000578362
• File Size : 45,5 Mb
• Total Download : 127
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Download Research Practitioner's Handbook on Big Data Analytics in PDF, Epub, and Kindle

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches. The book’s authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents a selection of illustrative case studies that show examples of the use of data analytics in industries such as health care, business, education, and social media.

• Author : Kumar, Pawan,Singh, Surjit,Ali, Ikbal,Ustun, Taha Selim
• Publisher : IGI Global
• Release Date : 2018-03-16
• Total pages : 746
• ISBN : 9781522539360
• File Size : 32,5 Mb
• Total Download : 957
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Download Handbook of Research on Power and Energy System Optimization in PDF, Epub, and Kindle

In recent years, the development of advanced structures for providing sustainable energy has been a topic at the forefront of public and political conversation. Many are looking for advancements on pre-existing sources and new and viable energy options to maintain a modern lifestyle. The Handbook of Research on Power and Energy System Optimization is a critical scholarly resource that examines the usage of energy in relation to the perceived standard of living within a country and explores the importance of energy structure augmentation. Featuring coverage on a wide range of topics including energy management, micro-grid, and distribution generation, this publication is targeted towards researchers, academicians, and students seeking relevant research on the augmentation of current energy structures to support existing standards of living.

• Author : Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
• Publisher : CRC Press
• Release Date : 2021-11-02
• Total pages : 294
• ISBN : 9781000455670
• File Size : 39,8 Mb
• Total Download : 372
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Download Handbook of Machine Learning for Computational Optimization in PDF, Epub, and Kindle

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms that are more efficient and reliable for new dimensions in discovering other applications, and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for machine learning-based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers.

• Author : Kim, Dookie,Sekhar Roy, Sanjiban,Länsivaara, Tim,Deo, Ravinesh,Samui, Pijush
• Publisher : IGI Global
• Release Date : 2018-06-15
• Total pages : 618
• ISBN : 9781522547679
• File Size : 53,9 Mb
• Total Download : 372
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Download Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering in PDF, Epub, and Kindle

The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

• Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
• Publisher : John Wiley & Sons
• Release Date : 2022-02-11
• Total pages : 944
• ISBN : 9781119792628
• File Size : 19,6 Mb
• Total Download : 457
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Download Handbook of Intelligent Computing and Optimization for Sustainable Development in PDF, Epub, and Kindle

HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

• Author : Hassanien, Aboul Ella,Gaber, Tarek
• Publisher : IGI Global
• Release Date : 2017-04-03
• Total pages : 1093
• ISBN : 9781522522300
• File Size : 53,6 Mb
• Total Download : 611
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Download Handbook of Research on Machine Learning Innovations and Trends in PDF, Epub, and Kindle

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but it increases the overall probability of technological progression. The Handbook of Research on Machine Learning Innovations and Trends is a key resource on the latest advances and research regarding the vast range of advanced systems and applications involved in machine intelligence. Highlighting multidisciplinary studies on decision theory, intelligent search, and multi-agent systems, this publication is an ideal reference source for professionals and researchers working in the field of machine learning and its applications.

• Author : Anand J. Kulkarni,Patrick Siarry
• Publisher : CRC Press
• Release Date : 2021-09-02
• Total pages : 418
• ISBN : 9781000434255
• File Size : 41,5 Mb
• Total Download : 965
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Download Handbook of AI-based Metaheuristics in PDF, Epub, and Kindle

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

• Author : Cheng, Shi,Shi, Yuhui
• Publisher : IGI Global
• Release Date : 2020-04-24
• Total pages : 482
• ISBN : 9781799832249
• File Size : 43,9 Mb
• Total Download : 455
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Download Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems in PDF, Epub, and Kindle

The use of optimization algorithms has seen an emergence in various professional fields due to its ability to process data and information in an efficient and productive manner. Combining computational intelligence with these algorithms has created a trending subject of research on how much more beneficial intelligent-inspired algorithms can be within companies and organizations. As modern theories and applications are continually being developed in this area, professionals are in need of current research on how intelligent algorithms are advancing in the real world. TheHandbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems is a pivotal reference source that provides vital research on the development of swarm intelligence algorithms and their implementation into current issues. While highlighting topics such as multi-agent systems, bio-inspired computing, and evolutionary programming, this publication explores various concepts and theories of swarm intelligence and outlines future directions of development. This book is ideally designed for IT specialists, researchers, academicians, engineers, developers, practitioners, and students seeking current research on the real-world applications of intelligent algorithms.

• Author : Plamen Parvanov Angelov
• Publisher : World Scientific
• Release Date : 2022-06-29
• Total pages : 1057
• ISBN : 9789811247330
• File Size : 16,9 Mb
• Total Download : 410
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Download Handbook On Computer Learning And Intelligence (In 2 Volumes) in PDF, Epub, and Kindle

The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)

• Author : Marwala Tshilidzi,Leke Collins Achepsah
• Publisher : World Scientific
• Release Date : 2019-11-21
• Total pages : 320
• ISBN : 9789811205682
• File Size : 42,5 Mb
• Total Download : 877
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Download Handbook Of Machine Learning - Volume 2: Optimization And Decision Making in PDF, Epub, and Kindle

Building on Handbook of Machine Learning - Volume 1: Foundation of Artificial Intelligence, this volume on Optimization and Decision Making covers a range of algorithms and their applications. Like the first volume, it provides a starting point for machine learning enthusiasts as a comprehensive guide on classical optimization methods. It also provides an in-depth overview on how artificial intelligence can be used to define, disprove or validate economic modeling and decision making concepts.

• Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
• Publisher : Academic Press
• Release Date : 2017-07-18
• Total pages : 658
• ISBN : 9780128113196
• File Size : 25,9 Mb
• Total Download : 172
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Download Handbook of Neural Computation in PDF, Epub, and Kindle

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

• Author : Pradeep Kumar Singh,Bharat K. Bhargava,Marcin Paprzycki,Narottam Chand Kaushal,Wei-Chiang Hong
• Publisher : Springer Nature
• Release Date : 2020-02-08
• Total pages : 716
• ISBN : 9783030403058
• File Size : 13,5 Mb
• Total Download : 682
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Download Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's in PDF, Epub, and Kindle

This book explores various challenging problems and applications areas of wireless sensor networks (WSNs), and identifies the current issues and future research challenges. Discussing the latest developments and advances, it covers all aspects of in WSNs, from architecture to protocols design, and from algorithm development to synchronization issues. As such the book is an essential reference resource for undergraduate and postgraduate students as well as scholars and academics working in the field.

• Author : Alhelou, Hassan Haes,Hayek, Ghassan
• Publisher : IGI Global
• Release Date : 2019-03-15
• Total pages : 489
• ISBN : 9781522580317
• File Size : 12,9 Mb
• Total Download : 793
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Download Handbook of Research on Smart Power System Operation and Control in PDF, Epub, and Kindle

Because society depends greatly on electric energy, power system control and protection focuses on ensuring a secure and reliable supply of power. To operate the electric systems in safe mode, the power system component should be equipped with intelligent controllers. The Handbook of Research on Smart Power System Operation and Control is a collection of innovative research on the theoretical and practical developments in smart power system operation and control that takes into account both smart grid and micro-grid systems. While highlighting topics including cybersecurity, smart grid, and wide area monitoring, this book is ideally designed for researchers, students, and industry professionals.

• Author : Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
• Publisher : IGI Global
• Release Date : 2020-02-28
• Total pages : 420
• ISBN : 9781799821229
• File Size : 28,7 Mb
• Total Download : 864
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Download Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering in PDF, Epub, and Kindle

Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

• Author : Saeid Eslamian,Faezeh Eslamian
• Publisher : Elsevier
• Release Date : 2022-12-06
• Total pages : 422
• ISBN : 9780128219522
• File Size : 35,6 Mb
• Total Download : 114
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Download Handbook of HydroInformatics in PDF, Epub, and Kindle

Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines. These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. This volume is an example of true interdisciplinary work. The audience includes postgraduates and above interested in Water Science, Geotechnical Engineering, Soil Science, Civil Engineering, Chemical Engineering, Computer Engineering, Engineering, Applied Science, Earth and Geoscience, Atmospheric Science, Geography, Environment Science, Natural Resources, Mathematical Science, and Social Sciences. It is a fully comprehensive handbook which provides all the information needed related to the best practices for managing water data. Contributions from global experts in the fields of data management research, climate change and resilience, insufficient data problem, etc. Thorough applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. Includes a wide range of new methods that are used in hydro-modeling, with step-by-step guides on how to use them.

• Author : Ordóñez de Pablos, Patricia,Zhang, Xi,Almunawar, Mohammad Nabil
• Publisher : IGI Global
• Release Date : 2022-11-11
• Total pages : 564
• ISBN : 9781668458501
• File Size : 38,7 Mb
• Total Download : 409
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Download Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy in PDF, Epub, and Kindle

Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.

• Author : Zhao, Jingyuan,Kumar, V. Vinoth
• Publisher : IGI Global
• Release Date : 2021-06-25
• Total pages : 570
• ISBN : 9781799868729
• File Size : 50,9 Mb
• Total Download : 668
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Download Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies in PDF, Epub, and Kindle

Recently, artificial intelligence (AI), the internet of things (IoT), and cognitive technologies have successfully been applied to various research domains, including computer vision, natural language processing, voice recognition, and more. In addition, AI with IoT has made a significant breakthrough and a shift in technical direction to achieve high efficiency and adaptability in a variety of new applications. On the other hand, network design and optimization for AI applications addresses a complementary topic, namely the support of AI-based systems through novel networking techniques, including new architectures, as well as performance models for IoT systems. IoT has paved the way to a plethora of new application domains, at the same time posing several challenges as a multitude of devices, protocols, communication channels, architectures, and middleware exist. Big data generated by these devices calls for advanced learning and data mining techniques to effectively understand, learn, and reason with this volume of information, such as cognitive technologies. Cognitive technologies play a major role in developing successful cognitive systems which mimic “cognitive” functions associated with human intelligence, such as “learning” and “problem solving.” Thus, there is a continuing demand for recent research in these two linked fields. The Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies discusses the latest innovations and applications of AI, IoT, and cognitive-based smart systems. The chapters cover the intersection of these three fields in emerging and developed economies in terms of their respective development situation, public policies, technologies and intellectual capital, innovation systems, competition and strategies, marketing and growth capability, and governance and relegation models. These applications span areas such as healthcare, security and privacy, industrial systems, multidisciplinary sciences, and more. This book is ideal for technologists, IT specialists, policymakers, government officials, academics, students, and practitioners interested in the experiences of innovations and applications of AI, IoT, and cognitive technologies.