Natural Computing Algorithms

Author : Anthony Brabazon,Michael O'Neill,Seán McGarraghy
Publisher : Springer
Page : 554 pages
File Size : 53,5 Mb
Release : 2015-10-08
Category : Computers
ISBN : 9783662436318

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Natural Computing Algorithms by Anthony Brabazon,Michael O'Neill,Seán McGarraghy Pdf

The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.

Author : Leandro Nunes de Castro
Publisher : CRC Press
Page : 674 pages
File Size : 41,8 Mb
Release : 2006-06-02
Category : Computers
ISBN : 9781420011449

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Fundamentals of Natural Computing by Leandro Nunes de Castro Pdf

Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniqu

Author : Bartlomiej Beliczynski,Andrzej Dzielinski,Marcin Iwanowski,Bernadete Ribeiro
Publisher : Springer
Page : 854 pages
File Size : 51,5 Mb
Release : 2007-07-03
Category : Computers
ISBN : 9783540716181

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Adaptive and Natural Computing Algorithms by Bartlomiej Beliczynski,Andrzej Dzielinski,Marcin Iwanowski,Bernadete Ribeiro Pdf

This two volume set constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. Coverage in the first volume includes evolutionary computation, genetic algorithms, and particle swarm optimization. The second volume covers neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision.

Author : Ville Kolehmainen,Pekka Toivanen,Bartlomiej Beliczynski
Publisher : Springer
Page : 630 pages
File Size : 41,9 Mb
Release : 2009-09-30
Category : Computers
ISBN : 9783642049217

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Adaptive and Natural Computing Algorithms by Ville Kolehmainen,Pekka Toivanen,Bartlomiej Beliczynski Pdf

This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2009, held in Kuopio, Finland, in April 2009. The 63 revised full papers presented were carefully reviewed and selected from a total of 112 submissions. The papers are organized in topical sections on neutral networks, evolutionary computation, learning, soft computing, bioinformatics as well as applications.

Author : Andrej Dobnikar,Uroš Lotric,Branko Šter
Publisher : Springer
Page : 433 pages
File Size : 41,7 Mb
Release : 2011-04-09
Category : Computers
ISBN : 9783642202827

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Adaptive and Natural Computing Algorithms by Andrej Dobnikar,Uroš Lotric,Branko Šter Pdf

The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.

Author : Bernadete Ribeiro
Publisher : Springer Science & Business Media
Page : 568 pages
File Size : 52,5 Mb
Release : 2005-03-08
Category : Computers
ISBN : 3211249346

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Adaptive and Natural Computing Algorithms by Bernadete Ribeiro Pdf

The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.

Author : Bartlomiej Beliczynski
Publisher : Unknown
Page : 128 pages
File Size : 52,8 Mb
Release : 2007
Category : Artificial intelligence
ISBN : 3540715894

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Adaptive and natural computing algorithms by Bartlomiej Beliczynski Pdf

Author : Bartlomiej Beliczynski,Andrzej Dzielinski,Marcin Iwanowski,Bernadete Ribeiro
Publisher : Springer
Page : 766 pages
File Size : 47,5 Mb
Release : 2007-07-03
Category : Computers
ISBN : 9783540716297

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Adaptive and Natural Computing Algorithms by Bartlomiej Beliczynski,Andrzej Dzielinski,Marcin Iwanowski,Bernadete Ribeiro Pdf

The two volume set LNCS 4431 and LNCS 4432 constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. The 178 revised full papers presented were carefully reviewed and selected from a total of 474 submissions.

Author : Andrej Dobnikar,Uroš Lotric,Branko Šter
Publisher : Springer
Page : 403 pages
File Size : 47,7 Mb
Release : 2011-04-09
Category : Computers
ISBN : 9783642202674

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Adaptive and Natural Computing Algorithms by Andrej Dobnikar,Uroš Lotric,Branko Šter Pdf

The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The second volume includes 41 papers organized in topical sections on pattern recognition and learning, soft computing, systems theory, support vector machines, and bioinformatics.

Author : Frank Neumann,Carsten Witt
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 47,5 Mb
Release : 2010-11-04
Category : Mathematics
ISBN : 9783642165443

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Bioinspired Computation in Combinatorial Optimization by Frank Neumann,Carsten Witt Pdf

Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.

Author : Jason Brownlee
Publisher : Jason Brownlee
Page : 437 pages
File Size : 50,6 Mb
Release : 2011
Category : Computers
ISBN : 9781446785065

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Clever Algorithms by Jason Brownlee Pdf

This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.

Author : Nazmul H. Siddique,Hojjat Adeli
Publisher : CRC Press
Page : 596 pages
File Size : 55,8 Mb
Release : 2017-05-19
Category : Computers
ISBN : 9781482244830

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Nature-Inspired Computing by Nazmul H. Siddique,Hojjat Adeli Pdf

Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in nature and basic principles of physics, chemistry, and biology. The discipline has reached a mature stage and the field has been well-established. This endeavour is another attempt at investigation into various computational schemes inspired from nature, which are presented in this book with the development of a suitable framework and industrial applications. Designed for senior undergraduates, postgraduates, research students, and professionals, the book is written at a comprehensible level for students who have some basic knowledge of calculus and differential equations, and some exposure to optimization theory. Due to the focus on search and optimization, the book is also appropriate for electrical, control, civil, industrial and manufacturing engineering, business, and economics students, as well as those in computer and information sciences. With the mathematical and programming references and applications in each chapter, the book is self-contained, and can also serve as a reference for researchers and scientists in the fields of system science, natural computing, and optimization.

Author : Giancarlo Zaccone
Publisher : BPB Publications
Page : 301 pages
File Size : 51,6 Mb
Release : 2019-09-17
Category : Computers
ISBN : 9789388511612

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Natural Computing with Python by Giancarlo Zaccone Pdf

Step-by-step guide to learn and solve complex computational problems with Nature Inspired algorithms. DESCRIPTIONÊ Natural Computing is the field of research inspired by nature, that allows the development of new algorithms to solve complex problems, leads to the synthesis of natural models, and may result in the design of new computing systems. This book exactly aims to educate you with practical examples on topics of importance associated with research field of Natural computing. The initial few chapters will quickly walk you through Neural Networks while describing deep learning architectures such as CNN, RNN and AutoEncoders using Keras. As you progress further, youÕll gain understanding to develop genetic algorithm to solve traveling saleman problem, implement swarm intelligence techniques using the SwarmPackagePyÊ and Cellular Automata techniques such as Game of Life, Langton's ant, etc.Ê The latter half of the book will introduce you to the world of Fractals such as such as the Cantor Set and the Mandelbrot Set, develop a quantum program with the QiSkit tool that runs on a real quantum computing platform, namely the IBM Q Machine and a Python simulation of the Adleman experiment that showed for the first time the possibility of performing computations at the molecular level. KEY FEATURES Artificial Neural Networks Deep Learning models using Keras Quantum Computers and Programming Genetic Algorithms, CNN and RNNs Swarm Intelligence Systems Reinforcement Learning using OpenAI Artificial Life DNA computing Fractals WHAT WILL YOU LEARN Mastering Artificial Neural Networks Developing Artificial Intelligence systemsÊ Resolving complex problems with Genetic Programming and Swarm intelligence algorithms Programming Quantum Computers Exploring the mathematical world of fractals Simulating complex systems by Cellular Automata Understanding the basics of DNA computation WHO THIS BOOK IS FORÊ This book is for all science enthusiasts, in particular who want to understand what are the links between computer sciences and natural systems. Interested readers should have good skills in math and python programming along with some basic knowledge of physics and biology. . Although, some knowledge of the topics covered in the book will be helpful, it is not essential to have worked with the tools covered in the book. Table of Contents Neural Networks Deep Learning Genetic Programming Swarm Intelligence Cellular Automata Fractals Quantum Computing DNA Computing

Author : Anthony Brabazon,Michael O'Neill
Publisher : Springer Science & Business Media
Page : 246 pages
File Size : 43,6 Mb
Release : 2009-03-13
Category : Business & Economics
ISBN : 9783540959731

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Natural Computing in Computational Finance by Anthony Brabazon,Michael O'Neill Pdf

Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems. This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.

Author : Anthony Brabazon,Michael O'Neill,Dietmar G. Maringer
Publisher : Springer
Page : 241 pages
File Size : 54,6 Mb
Release : 2010-07-11
Category : Technology & Engineering
ISBN : 9783642139505

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Natural Computing in Computational Finance by Anthony Brabazon,Michael O'Neill,Dietmar G. Maringer Pdf

The chapters in this book illustrate the application of a range of cutting-edge natural computing and agent-based methodologies in computational finance and economics. The eleven chapters were selected following a rigorous, peer-reviewed, selection process.