Bio-Inspired Computing and Networking - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-Inspired Computing and Networking write by Yang Xiao. This book was released on 2016-04-19. Bio-Inspired Computing and Networking available in PDF, EPUB and Kindle. Seeking new methods to satisfy increasing communication demands, researchers continue to find inspiration from the complex systems found in nature. From ant-inspired allocation to a swarm algorithm derived from honeybees, Bio-Inspired Computing and Networking explains how the study of biological systems can significantly improve computing, networki
Swarm Intelligence and Bio-Inspired Computation
Swarm Intelligence and Bio-Inspired Computation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Swarm Intelligence and Bio-Inspired Computation write by Xin-She Yang. This book was released on 2013-05-16. Swarm Intelligence and Bio-Inspired Computation available in PDF, EPUB and Kindle. Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.
Bio-Inspired Computing for Information Retrieval Applications
Bio-Inspired Computing for Information Retrieval Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-Inspired Computing for Information Retrieval Applications write by Acharjya, D.P.. This book was released on 2017-02-14. Bio-Inspired Computing for Information Retrieval Applications available in PDF, EPUB and Kindle. The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.
Bio-inspired Computing Models And Algorithms
Bio-inspired Computing Models And Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bio-inspired Computing Models And Algorithms write by Song Tao. This book was released on 2019-04-08. Bio-inspired Computing Models And Algorithms available in PDF, EPUB and Kindle. Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics.The ideas provide abundant inspiration to construct high-performance computing models and intelligent algorithms, thus enabling powerful tools to solve real-life problems.Written by world-renowned researchers, this compendium covers the most influential topics on BIC, where the newly-obtained algorithms, developments and results are introduced and elaborated. The potential and valuable directions for further research are addressed as well.
Nature-Inspired Computation and Swarm Intelligence
Nature-Inspired Computation and Swarm Intelligence - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Nature-Inspired Computation and Swarm Intelligence write by Xin-She Yang. This book was released on 2020-04-24. Nature-Inspired Computation and Swarm Intelligence available in PDF, EPUB and Kindle. 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
