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## Details

Genre/Form: | Electronic books Handbooks and manuals Handbooks, manuals, etc |
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Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
Grzegorz Rozenberg; Thomas Bäck; Joost N Kok |

ISBN: | 9783540929109 354092910X |

OCLC Number: | 808633869 |

Language Note: | English. |

Description: | 1 online resource. |

Contents: | Algorithmic Systems Biology -- Computer Science Propels Systems Biology / Corrado Priami -- Algorithmic Tools on Cellular Automata / Marianne Delorme and Jacques Mazoyer -- Algorithms for Quantum Computers / Jamie Smith and Michele Mosca -- An Introduction to Artificial Immune Systems / Mark Read, Paul S. Andrews and Jon Timmis -- Artificial Life / Wolfgang Banzhaf and Barry McMullin -- Bacterial Computing and Molecular Communication / Yasubumi Sakakibara and Satoshi Hiyama -- Basic Concepts of Cellular Automata / Jarkko J. Kari -- Bell's Inequalities -- Foundations and Quantum Communication / Časlav Brukner and Marek Żukowski -- BQP-Complete Problems / Shengyu Zhang -- Cellular Automata and Lattice Boltzmann Modeling of Physical Systems / Bastien Chopard -- Cellular Automata Dynamical Systems / Alberto Dennunzio, Enrico Formenti and Petr Kůrka -- Coevolutionary Principles / Elena Popovici, Anthony Bucci, R. Paul Wiegand and Edwin D. De Jong -- Collision-Based Computing / Andrew Adamatzky and Jérôme Durand-Lose -- Computational Complexity of Evolutionary Algorithms / Thomas Jansen -- Computational Nature of Gene Assembly in Ciliates / Robert Brijder, Mark Daley, Tero Harju, Nataša Jonoska and Ion Petre, et al. -- Computations on Cellular Automata / Jacques Mazoyer and Jean-Baptiste Yunès -- Computing with Spiking Neuron Networks / Hélène Paugam-Moisy and Sander Bohte -- Conservation Laws in Cellular Automata / Siamak Taati. DNA Computing by Splicing and by Insertion-Deletion / Gheorghe Păun -- DNA Computing -- Foundations and Implications / Lila Kari, Shinnosuke Seki and Petr Sosík -- DNA Memory / Masanori Arita, Masami Hagiya, Masahiro Takinoue and Fumiaki Tanaka -- Engineering Natural Computation by Autonomous DNA-Based Biomolecular Devices / John H. Reif and Thomas H. LaBean -- Evolutionary Multiobjective Optimization / Eckart Zitzler -- Evolutionary Programming / Gary B. Fogel -- Evolutionary Strategies / Günter Rudolph -- Evolvable Hardware / Lukáš Sekanina -- Fast Construction of Single-Hidden-Layer Feedforward Networks / Kang Li, Guang-Bin Huang and Shuzhi Sam Ge -- Generalized Evolutionary Algorithms / Kenneth De Jong -- Genetic Algorithms -- A Survey of Models and Methods / Darrell Whitley and Andrew M. Sutton -- Genetic Programming -- Introduction, Applications, Theory and Open Issues / Leonardo Vanneschi and Riccardo Poli -- Genetics-Based Machine Learning / Tim Kovacs -- Image Quality Assessment -- A Multiscale Geometric Analysis-Based Framework and Examples / Xinbo Gao, Wen Lu, Dacheng Tao and Xuelong Li -- Independent Component Analysis / Seungjin Choi -- Language Recognition by Cellular Automata / Véronique Terrier -- Mathematics for Quantum Information Processing / Mika Hirvensalo -- Membrane Computing / Gheorghe Păun -- Memetic Algorithms / Natalio Krasnogor -- Modeling Biological Neural Networks / Joaquin J. Torres and Pablo Varona -- Molecular Computing Machineries -- Computing Models and Wet Implementations / Masami Hagiya, Satoshi Kobayashi, Ken Komiya, Fumiaki Tanaka and Takashi Yokomori. Natural Computing in Finance -- A Review / Anthony Brabazon, Jing Dang, Ian Dempsey, Michael O'Neill and David Edelman -- Neural Networks for Time-Series Forecasting / G. Peter Zhang -- Neural Networks in Bioinformatics / Ke Chen and Lukasz A. Kurgan -- Niching in Evolutionary Algorithms / Ofer M. Shir -- Nonclassical Computation -- A Dynamical Systems Perspective / Susan Stepney -- Nonlinear Process Modelling and Control Using Neurofuzzy Networks / Jie Zhang -- Physical Implementation of Large-Scale Quantum Computation / Kalle-Antti Suominen -- Process Calculi, Systems Biology and Artificial Chemistry / Pierpaolo Degano and Andrea Bracciali -- Quantum Cryptography / Takeshi Koshiba -- Reaction-Diffusion Computing / Andrew Adamatzky and Benjamin De Lacy Costello -- Reversible Cellular Automata / Kenichi Morita -- Rough-Fuzzy Computing / Andrzej Skowron -- Selected Aspects of Natural Computing / David W. Corne, Kalyanmoy Deb, Joshua Knowles and Xin Yao -- Self-organizing Maps / Marc M. Van Hulle -- Simulated Annealing / Kathryn A. Dowsland and Jonathan M. Thompson -- Stochastic Convergence / Günter Rudolph -- SVM Tutorial -- Classification, Regression and Ranking / Hwanjo Yu and Sungchul Kim -- Swarm Intelligence / David W. Corne, Alan Reynolds and Eric Bonabeau -- The Dynamical Systems Approach -- Progress Measures and Convergence Properties / Silja Meyer-Nieberg and Hans-Georg Beyer -- Universalities in Cellular Automata* / Nicolas Ollinger. |

Series Title: | Springer reference. |

Responsibility: | main editor: Grzegorz Rozenberg ; editors: Thomas H.W. Bäck, Joost N. Kok. |

### Abstract:

## Reviews

*Editorial reviews*

Publisher Synopsis

"I am delighted to be able to recommend this amazingly broad and comprehensive four-volume handbook. Natural Computing is here to stay. It is already becoming a central theme on the borderline between computer science, mathematics and biology, and is poised to play a crucial role in 21st Century science. Grzegorz Rozenberg, besides being a superb scientist and thinker (and an astonishing magician too!), has the uncanny ability to bring together the best people and to somehow get them to contribute to important efforts. This handbook is one of his crowning achievements, and I salute both him and the wonderful result." [David Harel, Weizmann Institute of Science] "The Handbook covers in a comprehensive and superb manner all central areas of natural computing. The term Natural Computing was coined by the Main Editor of the Handbook, Grzegorz Rozenberg, some thirty years ago to refer to human-designed computing inspired by nature, as well as computing actually taking place in nature. The main areas of the field (Cellular Automata, Neural Computation, Evolutionary Computation, Molecular Computation, Quantum Computation) are each subedited by top experts. Insights into other areas as well as hints to the future are provided in the part 'Broader Perspectives'. The number of contributors, 105, is amazing. The total result is an excellent massive set of four volumes that will constitute a unique source of reference for researchers and students for a long time to come." [Arto Salomaa, Academy of Finland] "Natural sciences aim at discovery while technology seeks invention, thus the interplay of the two fosters creativity and is crucial for the advancement of knowledge. This timely Handbook is a vast effort to compile and relate what is known today about understanding nature through computation and about devising new models, techniques, and technologies of computation inspired by natural phenomena. As a pioneering and seminal work, it constitutes a magnificent entry point for those looking for an exciting research field, and I am sure it will become a reference pillar for the years to come." [Carme Torras, Institut de Robotica i Informatica Industrial (CSIC-UPC), Barcelona] "[The Handbook] is an achievement of excellent editing. The topics covered are widely disparate and there are dozens of authors involved, and yet the editors have produced a beautifully coordinated, balanced, and very readable resource. All the contributions are very well written, and moreover very well illustrated, and the individual chapters seem able to balance depth of coverage with accessibility. While the mathematical underpinning is rigorous, the clear text and the graphics make it possible for nonexperts to understand the topics with a reasonable effort. ... The many chapters in the various sections of this book show different aspects of the overall approach. Some chapters give a flavor of their topics in an informal manner, others explain the mathematics, while still others show how the topics can be applied. The emphasis throughout seems to be to explain the concepts without too many implementation details. The tone and clarity are consistent throughout, which makes it possible to read consecutive chapters without noticing any change in style or authorship. Each chapter also includes a good list of references for further study. ... I found it really inspiring to browse through all four volumes together, as it helps to get details of any one approach while having a view of the wider context. ... It provides a solid, easy-to-digest foundation for topics of increasing importance, and the grouping of chapters into related parts provides far more information than individual chapters could." [Sara Kalvala, ACM Computing Reviews, 2013] "This work provides a solid presentation of both aspects of computing-natural and artificial-and serves as an important foundation and cross-fertilization for researchers in each area, although the emphasis is still primarily on nature-inspired artificial algorithms. ... The book is inspirational in its coverage of the subject. It will be an indispensable tool for researchers and practitioners interested in developing nature-inspired algorithms and a valuable resource for research institutions. Summing Up: Highly recommended. Graduate students and above." [J. Y. Cheung, Choice, Vol. 50 (5), January, 2013] Read more...

*User-contributed reviews*