Swarm Intelligence and Bio-Inspired Computation: Theory and Applications (Elsevier Insights)

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9780124051638: Swarm Intelligence and Bio-Inspired Computation: Theory and Applications (Elsevier Insights)

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.

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About the Author:

Xin-She Yang obtained his DPhil in Applied Mathematics from the University of Oxford. He then worked at Cambridge University and National Physical Laboratory (UK) as a Senior Research Scientist. He is currently a Reader at Middlesex University London, Adjunct Professor at Reykjavik University (Iceland) and Guest Professor at Xi’an Polytechnic University (China). He is an elected Bye-Fellow at Downing College, Cambridge University. He is also the IEEE CIS Chair for the Task Force on Business Intelligence and Knowledge Management, and the Editor-in-Chief of International Journal of Mathematical Modelling and Numerical Optimisation (IJMMNO).

Review:

"Civil and other engineers, mathematicians, computer scientists, and other contributors summarize the current status of biologically inspired computation and swarm intelligence, looking at both fundamentals and applications of algorithms based on swarm intelligence and other biological systems."--Reference and Research Book News, August 2013

"Sobre este título" puede pertenecer a otra edición de este libro.

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Descripción Elsevier Science Publishing Co Inc, United States, 2013. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Nº de ref. de la librería EOD9780124051638

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Editorial: Elsevier Science Publishing Co Inc, United States (2013)
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Descripción Elsevier Science Publishing Co Inc, United States, 2013. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería LIB9780124051638

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Editorial: Elsevier Science Publishing Co Inc, United States (2013)
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Descripción Elsevier Science Publishing Co Inc, United States, 2013. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería LIB9780124051638

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Yang, Xin-she (Editor)/ Cui, Zhihua (Editor)/ Xiao, Renbin (Editor)/ Gandomi, Amir Hossein (Editor)/ Karamanoglu, Mehmet (Editor)
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Descripción Elsevier Science Ltd, 2013. Hardcover. Estado de conservación: Brand New. 422 pages. 9.00x6.25x1.25 inches. In Stock. Nº de ref. de la librería __0124051634

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Xin-She Yang (editor), Zhihua Cui (editor), Renbin Xiao (editor), Amir Hossein Gandomi (editor), Mehmet Karamanoglu (editor)
Editorial: Elsevier Science 2013-05-20, Oxford (2013)
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