Advances In Nature Inspired Computing And Applications
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Advances In Nature Inspired Computing And Applications
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Author : Shishir Kumar Shandilya
language : en
Publisher: Springer
Release Date : 2018-08-29
Advances In Nature Inspired Computing And Applications written by Shishir Kumar Shandilya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Technology & Engineering categories.
This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This book has focus on the current researches while highlighting the empirical results along with theoretical concepts to provide a comprehensive reference for students, researchers, scholars, professionals and practitioners in the field of Advanced Artificial Intelligence, Nature-Inspired Algorithms and Soft Computing.
Nature Inspired Computing Applications In Advanced Communication Networks
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Author : Gupta, Govind P.
language : en
Publisher: IGI Global
Release Date : 2019-12-27
Nature Inspired Computing Applications In Advanced Communication Networks written by Gupta, Govind P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-27 with Computers categories.
With the rapid growth of technology in society, communication networks have become a heavily researched topic. Implementing these advanced systems is a challenge, however, due to the abundance of optimization problems within these networks. The use of meta-heuristic algorithms and nature-inspired computing has become a prevalent technique among researchers for solving these complex problems within communication networks. Despite its popularity, this specific computing technique lacks the appropriate amount of research that is needed for professionals to grasp a definite understanding. Nature-Inspired Computing Applications in Advanced Communication Networks is a collection of innovative research on the methods and applications of natural computation techniques and algorithms within communication systems such as wireless sensor networks, vehicular adhoc networks, and internet of things. While highlighting topics including mobile sensor deployment, routing optimization, and sleep scheduling, this book is ideally designed for researchers, network professionals, computer scientists, mathematicians, developers, scholars, educators, and students seeking to enhance their understanding of nature-inspired computing and its solutions within various advanced communication networks.
Advancements In Optimization And Nature Inspired Computing For Solutions In Contemporary Engineering Challenges
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Author : Diego Rossit
language : en
Publisher: Springer Nature
Release Date : 2025-02-19
Advancements In Optimization And Nature Inspired Computing For Solutions In Contemporary Engineering Challenges written by Diego Rossit and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Computers categories.
This book brings together cutting-edge research, methodologies, and applications in the field of optimization and nature-inspired computing, providing a comprehensive overview of the latest advancements and their applications in addressing contemporary challenges in engineering. The book demonstrates diverse applications of mathematical modeling in various aspects of production, logistic, design, energy, materials, and other engineering areas. The book includes topics in optimization algorithms nature-inspired computing multi-objective optimization hybrid optimization techniques evolutionary algorithms swarm intelligence machine learning for optimization applications of optimization in engineering sustainable engineering solutions big data analytics for optimization metaheuristic approaches cloud computing in optimization cyber-physical systems decision support systems emerging trends in optimization.
Recent Developments In Intelligent Nature Inspired Computing
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Author : Patnaik, Srikanta
language : en
Publisher: IGI Global
Release Date : 2017-03-09
Recent Developments In Intelligent Nature Inspired Computing written by Patnaik, Srikanta and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-09 with Computers categories.
The development of nature-inspired computational techniques has enhanced problem solving in dynamic and uncertain environments. By implementing effective computing strategies, this ensures adaptable, self-organizing, and decentralized behavioral techniques. Recent Developments in Intelligent Nature-Inspired Computing is an authoritative reference source for the latest scholarly material on natural computation methods and applications in diverse fields. Highlighting multidisciplinary studies on swarm intelligence, global optimization, and group technology, this publication is an ideal reference source for professionals, researchers, scholars, and engineers interested in the latest developments in computer science methodologies.
Swarm Intelligence
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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.
Applied Nature Inspired Computing Algorithms And Case Studies
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Author : Nilanjan Dey
language : en
Publisher: Springer
Release Date : 2019-08-10
Applied Nature Inspired Computing Algorithms And Case Studies written by Nilanjan Dey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-10 with Technology & Engineering categories.
This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.
Nature Inspired Optimization Algorithms
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Author : Xin-She Yang
language : en
Publisher: Academic Press
Release Date : 2020-09-09
Nature Inspired Optimization Algorithms written by Xin-She Yang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-09 with Science categories.
Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications. - Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature - Provides a theoretical understanding and practical implementation hints - Presents a step-by-step introduction to each algorithm - Includes four new chapters covering mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization algorithms, and the latest deep learning techniques, background and various applications
Advances In Parallel Computing Algorithms Tools And Paradigms
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Author : D.J. Hemanth
language : en
Publisher: IOS Press
Release Date : 2022-11-23
Advances In Parallel Computing Algorithms Tools And Paradigms written by D.J. Hemanth and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-23 with Computers categories.
Recent developments in parallel computing for various fields of application are providing improved solutions for handling data. These newer, innovative ideas offer the technical support necessary to enhance intellectual decisions, while also dealing more efficiently with the huge volumes of data currently involved. This book presents the proceedings of ICAPTA 2022, the International Conference on Advances in Parallel Computing Technologies and Applications, hosted as a virtual conference from Bangalore, India, on 27 and 28 January 2022. The aim of the conference was to provide a forum for the sharing of knowledge about various aspects of parallel computing in communications systems and networking, including cloud and virtualization solutions, management technologies and vertical application areas. The conference also provided a premier platform for scientists, researchers, practitioners and academicians to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in this field. More than 300 submissions were received for the conference, from which the 91 full-length papers presented here were accepted after review by a panel of subject experts. Topics covered include parallel computing in communication, machine learning intelligence for parallel computing and parallel computing for software services in theoretical and practical aspects. Providing an overview of recent developments in the field, the book will be of interest to all those whose work involves the use of parallel computing technologies.
Discrete Problems In Nature Inspired Algorithms
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Author : Anupam Prof. Shukla
language : en
Publisher: CRC Press
Release Date : 2017-12-15
Discrete Problems In Nature Inspired Algorithms written by Anupam Prof. Shukla and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.
This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.
Advances In Computer Vision
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Author : Kohei Arai
language : en
Publisher: Springer
Release Date : 2019-04-23
Advances In Computer Vision written by Kohei Arai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-23 with Computers categories.
This book presents a remarkable collection of chapters covering a wide range of topics in the areas of Computer Vision, both from theoretical and application perspectives. It gathers the proceedings of the Computer Vision Conference (CVC 2019), held in Las Vegas, USA from May 2 to 3, 2019. The conference attracted a total of 371 submissions from pioneering researchers, scientists, industrial engineers, and students all around the world. These submissions underwent a double-blind peer review process, after which 120 (including 7 poster papers) were selected for inclusion in these proceedings. The book’s goal is to reflect the intellectual breadth and depth of current research on computer vision, from classical to intelligent scope. Accordingly, its respective chapters address state-of-the-art intelligent methods and techniques for solving real-world problems, while also outlining future research directions. Topic areas covered include Machine Vision and Learning, Data Science,Image Processing, Deep Learning, and Computer Vision Applications.