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Bio-Inspired Collaborative Intelligent Control and Optimization

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Release : 2017-11-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 892/5 ( reviews)

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Book Synopsis Bio-Inspired Collaborative Intelligent Control and Optimization by : Yongsheng Ding

Download or read book Bio-Inspired Collaborative Intelligent Control and Optimization written by Yongsheng Ding. This book was released on 2017-11-06. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.

Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies

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Release : 2024-04-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies by : Bhowmick, Parijat

Download or read book Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies written by Bhowmick, Parijat. This book was released on 2024-04-23. Available in PDF, EPUB and Kindle. Book excerpt: The academic community is currently facing the challenge of navigating the complexities of swarm robotics. This field demands understanding the design, control, and coordination of autonomous robotic swarms. The intricacies of developing algorithms that facilitate communication, cooperation, and adaptation among simple individual agents remain a formidable obstacle. Addressing issues like task allocation, formation control, path planning, and decentralized decision-making are pivotal to unlocking the true potential of swarm robotics. Bio-inspired Swarm Robotics and Control: Algorithms, Mechanisms, and Strategies immerses readers in the cutting-edge realm of swarm robotics, a discipline inspired by the intricate choreography observed in biological systems like insect colonies, bird flocks, and fish schools. Encompassing a rich array of bio-inspired algorithms, mechanisms, and strategies, the text elucidates how robots can communicate, cooperate, and adapt within dynamic environments. The book propels robotics, automation, and artificial intelligence advancements by fostering interdisciplinary connections and charting a course toward more efficient and resilient multi-robot systems. This book is ideal for biologists, engineers, and computer scientists to join forces in unlocking the full potential of swarm robotics.

Revolutionizing Collaboration through e-Work, e-Business, and e-Service

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Release : 2015-06-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 776/5 ( reviews)

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Book Synopsis Revolutionizing Collaboration through e-Work, e-Business, and e-Service by : Shimon Y. Nof

Download or read book Revolutionizing Collaboration through e-Work, e-Business, and e-Service written by Shimon Y. Nof. This book was released on 2015-06-10. Available in PDF, EPUB and Kindle. Book excerpt: Collaboration in highly distributed organizations of people, robots, and autonomous systems is and must be revolutionized by engineering augmentation. The aim is to augment humans’ abilities at work and, through this augmentation, improve organizations’ abilities to accomplish their missions. This book establishes the theoretical foundations and design principles of collaborative e-Work, e-Business and e-Service, their models and applications, design and implementation techniques. The fundamental premise is that without effective e-Work and e-Services, the potential of emerging activities, such as e-Commerce, virtual manufacturing, tele-robotic medicine, automated construction, smart energy grid, cyber-supported agriculture, and intelligent transportation cannot be fully materialized. Typically, workers and managers of such value networks are frustrated with complex information systems, originally designed and built to simplify and improve performance. Even if the human-computer interface for such systems is well designed, the information and task overloads can be overwhelming. Effective delivery of expected outcomes may not occur. Challenges and emerging solutions in the context of the recently developed CCT, Collaborative Control Theory, are described, with emphasis on issues of computer-supported and communication-enabled integration, coordination and augmented collaboration. Research results and analyses of engineering design methods and complex systems management techniques are explained and illustrated.

Nature-Inspired Computation and Swarm Intelligence

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Release : 2020-04-24
Genre : Computers
Kind : eBook
Book Rating : 145/5 ( reviews)

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Book Synopsis Nature-Inspired Computation and Swarm Intelligence by : Xin-She Yang

Download or read book Nature-Inspired Computation and Swarm Intelligence written by Xin-She Yang. This book was released on 2020-04-24. Available in PDF, EPUB and Kindle. Book excerpt: Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence. Introduces nature-inspired algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and others Provides a theoretical foundation and analyses of algorithms, including: statistical theory and Markov chain theory on the convergence and stability of algorithms, dynamical system theory, benchmarking of optimization, no-free-lunch theorems, and a generalized mathematical framework Includes a diversity of case studies of real-world applications: feature selection, clustering and classification, tuning of restricted Boltzmann machines, travelling salesman problem, classification of white blood cells, music generation by artificial intelligence, swarm robots, neural networks, engineering designs and others

Artificial Intelligence and Bioinspired Computational Methods

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Release : 2020-08-08
Genre : Technology & Engineering
Kind : eBook
Book Rating : 716/5 ( reviews)

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Book Synopsis Artificial Intelligence and Bioinspired Computational Methods by : Radek Silhavy

Download or read book Artificial Intelligence and Bioinspired Computational Methods written by Radek Silhavy. This book was released on 2020-08-08. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the refereed proceedings of the Artificial Intelligence and Bioinspired Computational Methods Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Artificial intelligence and bioinspired computational methods now represent crucial areas of computer science research. The topics presented here reflect the current discussion on cutting-edge hybrid and bioinspired algorithms and their applications.

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