Handbook Of Research On Advancements Of Swarm Intelligence Algorithms For Solving Real World Problems
DOWNLOAD
Download Handbook Of Research On Advancements Of Swarm Intelligence Algorithms For Solving Real World Problems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Handbook Of Research On Advancements Of Swarm Intelligence Algorithms For Solving Real World Problems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Handbook Of Research On Advancements Of Swarm Intelligence Algorithms For Solving Real World Problems
DOWNLOAD
Author : Cheng, Shi
language : en
Publisher: IGI Global
Release Date : 2020-04-24
Handbook Of Research On Advancements Of Swarm Intelligence Algorithms For Solving Real World Problems written by Cheng, Shi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-24 with Computers categories.
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.
Advancements Of Swarm Intelligence Algorithms For Solving Real World Problems
DOWNLOAD
Author : Shi Cheng
language : en
Publisher: Engineering Science Reference
Release Date : 2020
Advancements Of Swarm Intelligence Algorithms For Solving Real World Problems written by Shi Cheng and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Swarm intelligence categories.
"This book explores various concepts, principles, and applications of swarm intelligence algorithms"--
Research Anthology On Clean Energy Management And Solutions
DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2021-06-25
Research Anthology On Clean Energy Management And Solutions 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 2021-06-25 with Technology & Engineering categories.
Energy usage and consumption continue to rise globally each year, with the most efficient and cost-effective energy sources causing huge impacts to the environment. In an effort to mitigate harmful effects to the environment, implementing clean energy resources and utilizing green energy management strategies have become worldwide initiatives, with many countries from all regions quickly becoming leaders in renewable energy usage. Still, not every energy resource is without flaws. Researchers must develop effective and low-cost strategies for clean energy in order to find the balance between production and consumption. The Research Anthology on Clean Energy Management and Solutions provides in-depth research that explores strategies and techniques used in the energy production field to optimize energy efficiency in order to maintain clean and safe use while delivering ample energy coverage. The anthology also seeks solutions to energy that have not yet been optimized or are still produced in a way that is harmful to the environment. Covering topics such as hydrogen fuel cells, renewable energy, solar power, solar systems, cost savings, and climate protection, this text is essential for electrical engineers, nuclear engineers, environmentalists, managers, policymakers, government officials, professionals in the energy industry, researchers, academicians, and students looking for the latest research on clean energy management.
Research Anthology On Bioinformatics Genomics And Computational Biology
DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2024-03-19
Research Anthology On Bioinformatics Genomics And Computational Biology 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 2024-03-19 with Computers categories.
In the evolving environment of bioinformatics, genomics, and computational biology, academic scholars are facing a challenging challenge – keeping informed about the latest research trends and findings. With unprecedented advancements in sequencing technologies, computational algorithms, and machine learning, these fields have become indispensable tools for drug discovery, disease research, genome sequencing, and more. As scholars strive to decode the language of DNA, predict protein structures, and navigate the complexities of biological data analysis, the need for a comprehensive and up-to-date resource becomes paramount. The Research Anthology on Bioinformatics, Genomics, and Computational Biology is a collection of a carefully curated selection of chapters that serves as the solution to the pressing challenge of keeping pace with the dynamic advancements in these critical disciplines. This anthology is designed to address the informational gap by providing scholars with a consolidated and authoritative source that sheds light on critical issues, innovative theories, and transformative developments in the field. It acts as a single reference point, offering insights into conceptual, methodological, technical, and managerial issues while also providing a glimpse into emerging trends and future opportunities.
Emerging Threats And Countermeasures In Cybersecurity
DOWNLOAD
Author : Gulshan Shrivastava
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-15
Emerging Threats And Countermeasures In Cybersecurity written by Gulshan Shrivastava 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 2024-11-15 with Computers categories.
This book is an essential resource for anyone seeking to stay ahead in the dynamic field of cybersecurity, providing a comprehensive toolkit for understanding and combating digital threats and offering practical, insightful guidance ideal for cybersecurity professionals, digital forensic investigators, legal practitioners, law enforcement, scholars, and students. In the rapidly evolving domain of digital security, this book emerges as a vital guide for understanding and addressing the sophisticated landscape of cyber threats. This in-depth volume, featuring contributions from renowned experts, provides a thorough examination of the current state and future challenges in digital security and forensic analysis. The book is meticulously organized into seven sections (excluding conclusion), each focusing on a critical aspect of cybersecurity. It begins with a comprehensive overview of the latest trends and threats in the field, setting the stage for deeper explorations in subsequent sections. Readers will gain insights into a range of topics, from the intricacies of advanced persistent threats and malware, to the security nuances of cyber-physical systems and the Internet of Things (IoT). The book covers cutting-edge topics like blockchain, cryptography, social engineering, cloud security, and data privacy, blending theory with practical case studies. It’s a practical guide for cybersecurity professionals, forensic investigators, legal practitioners, law enforcement, scholars, and students. Offering a comprehensive toolkit for combating digital threats, it’s essential for staying ahead in the fast-evolving field of cybersecurity.
Handbook Of Research On Big Data Clustering And Machine Learning
DOWNLOAD
Author : Garcia Marquez, Fausto Pedro
language : en
Publisher: IGI Global
Release Date : 2019-10-04
Handbook Of Research On Big Data Clustering And Machine Learning written by Garcia Marquez, Fausto Pedro and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.
As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary. The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.
Handbook Of Research On Artificial Intelligence Techniques And Algorithms
DOWNLOAD
Author : Vasant, Pandian
language : en
Publisher: IGI Global
Release Date : 2014-11-30
Handbook Of Research On Artificial Intelligence Techniques And Algorithms written by Vasant, Pandian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with Computers categories.
For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.
Swarm Intelligence
DOWNLOAD
Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-12-29
Swarm Intelligence 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 2024-12-29 with Technology & Engineering categories.
Unlock the world of "Swarm Intelligence," where robotics, artificial intelligence, and evolutionary computation converge. This book is essential for professionals, students, and enthusiasts eager to explore the cuttingedge methods transforming the future of robotics. Gain insights into natureinspired algorithms and how they optimize problemsolving across diverse fields. Whether you're pursuing a career in robotics or just passionate about intelligent systems, this book bridges theory and practice. Chapters Brief Overview: 1: Swarm intelligence: Introduces the concept of collective behavior in decentralized systems, vital for understanding multiagent robotics. 2: Genetic algorithm: Explores evolutionary principles applied to problemsolving, a cornerstone of optimization techniques in robotics. 3: Evolutionary algorithm: Delves into the evolution of algorithms to improve solutions iteratively, crucial for autonomous robotic systems. 4: Swarm behaviour: Investigates how swarm systems operate and collaborate, essential for creating responsive robotic networks. 5: Evolutionary computation: Highlights computational strategies inspired by biological evolution, enhancing robotic adaptability. 6: Particle swarm optimization: Introduces a populationbased method inspired by natural systems, ideal for solving complex optimization problems in robotics. 7: Boids: Discusses flocking algorithms for simulating natural group behaviors, influencing swarm robotics for coordinated movement. 8: Ant colony optimization algorithms: Shows how ants’ foraging behavior provides a framework for solving routing and optimization problems in robotic navigation. 9: Metaheuristic: Explores highlevel problemsolving strategies, expanding robotics capabilities by refining optimization processes. 10: Marco Dorigo: Focuses on the work of Marco Dorigo, pioneering research in swarm intelligence, a key influence in robotics evolution. 11: Computational intelligence: Examines AI's role in robotics, demonstrating how computational techniques empower robots to think and learn autonomously. 12: Stochastic diffusion search: Introduces random search strategies for optimization, an essential tool for autonomous decisionmaking in robotics. 13: Ant robotics: Explores the application of ant colony optimization in robotic systems, emphasizing efficiency in swarm robotics. 14: Firefly algorithm: Unveils the fireflyinspired optimization algorithm, showing its potential in dynamic and realtime robotic control. 15: Metaoptimization: Delves into improving optimization algorithms themselves, crucial for enhancing the performance of robotic systems. 16: Fly algorithm: Focuses on a bioinspired optimization algorithm, expanding the toolkit for solving complex robotic control tasks. 17: Table of metaheuristics: Provides a comprehensive reference to metaheuristic algorithms, a key resource for optimizing robotic systems. 18: Maurice Clerc (mathematician): Highlights the contributions of Maurice Clerc, deepening the understanding of particle swarm optimization’s role in robotics. 19: Atulya Nagar: Focuses on Atulya Nagar's work in computational intelligence, exploring its relevance to robotic decisionmaking and adaptability. 20: Genetic programming: Introduces genetic programming as a way to evolve solutions for robotic systems, paving the way for autonomous development. 21: Neuroevolution of augmenting topologies: Explores how neuroevolution helps optimize neural networks for complex robotic tasks, a cuttingedge area in robotics research.
Recent Advances In Hybrid Metaheuristics For Data Clustering
DOWNLOAD
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.
Handbook Of Research On Natural Computing For Optimization Problems
DOWNLOAD
Author : Mandal, Jyotsna Kumar
language : en
Publisher: IGI Global
Release Date : 2016-05-25
Handbook Of Research On Natural Computing For Optimization Problems written by Mandal, Jyotsna Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-25 with Computers categories.
Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.