This reference explains Natural Computing: the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing.

Table of Contents

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