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Nature-Inspired Computation
English | 2015 | ISBN: 163463831X | 190 Pages | PDF | 5 MB

Nature inspired computation is an old idea, first proposed in the early fifties by Alan Turing, one of the founders of computer science. Turing suggested computational models of pattern formation in living systems based on systems of coupled reaction-diffusion equations giving rise to spatial patterns due to self-organization of substances in chemical concentrations. Since the pioneering work by Turing, many optimization algorithms stimulated by real-world features have gained great popularity and impact, thanks to their efficiency in solving nonlinear design problems.
The book provides an introductory tour of the most popular nature inspired computational strategies. The book is subdivided in two parts, anyone briefly describing the inspiration and motivation by natural processes and phenomena, main players, design principles, scope of each branch, current trends and open problems. After an introductive description of some basic ideas underlying the nature-inspired computation, chapter 1, in the first part of the book, we focus the attention on the long tradition computing inspired by nature as Artificial and Spiking Neural Networks (chapter 2), Evolutionary and Genetic Algorithms (chapter 3), and Swarm Intelligence algorithms (chapter 4). In the second part, we present the emergent knowledge and technologies in Multiscale Nature processes (chapter 5), Quantum Computing and Quantum Cryptography (chapter 6), Encryption and Secure Communication system (chapter 7), Image processing and Vision systems (chapter 8), and finally on Nanophotonics Information (chapter 9).

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Nature-Inspired Computation
English | 2015 | ISBN: 163463831X | 190 Pages | PDF | 5 MB

Nature inspired computation is an old idea, first proposed in the early fifties by Alan Turing, one of the founders of computer science. Turing suggested computational models of pattern formation in living systems based on systems of coupled reaction-diffusion equations giving rise to spatial patterns due to self-organization of substances in chemical concentrations. Since the pioneering work by Turing, many optimization algorithms stimulated by real-world features have gained great popularity and impact, thanks to their efficiency in solving nonlinear design problems.
The book provides an introductory tour of the most popular nature inspired computational strategies. The book is subdivided in two parts, anyone briefly describing the inspiration and motivation by natural processes and phenomena, main players, design principles, scope of each branch, current trends and open problems. After an introductive description of some basic ideas underlying the nature-inspired computation, chapter 1, in the first part of the book, we focus the attention on the long tradition computing inspired by nature as Artificial and Spiking Neural Networks (chapter 2), Evolutionary and Genetic Algorithms (chapter 3), and Swarm Intelligence algorithms (chapter 4). In the second part, we present the emergent knowledge and technologies in Multiscale Nature processes (chapter 5), Quantum Computing and Quantum Cryptography (chapter 6), Encryption and Secure Communication system (chapter 7), Image processing and Vision systems (chapter 8), and finally on Nanophotonics Information (chapter 9).

Download link:

Links are Interchangeable - Single Extraction - Premium is support resumable
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