Recent Advances In Natural Computing

Author: Yasuhiro Suzuki
Publisher: Springer
ISBN: 4431554297
Size: 60.16 MB
Format: PDF
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Recent Advances In Natural Computing from the Author: Yasuhiro Suzuki. This book highlights recent advances in natural computing, including biology and its theory, bio-inspired computing, computational aesthetics, computational models and theories, computing with natural media, philosophy of natural computing, and educational technology. It presents extended versions of the best papers selected from the “8th International Workshop on Natural Computing” (IWNC8), a symposium held in Hiroshima, Japan, in 2014. The target audience is not limited to researchers working in natural computing but also includes those active in biological engineering, fine/media art design, aesthetics, and philosophy.

Advances In Natural Computation

Author: Lipo Wang
Publisher: Springer Science & Business Media
ISBN: 354028320X
Size: 67.61 MB
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Advances In Natural Computation from the Author: Lipo Wang. The three volume set LNCS 3610, LNCS 3611, and LNCS 3612 constitutes the refereed proceedings of the First International Conference on Natural Computation, ICNC 2005, held in Changsha, China, in August 2005 as a joint event with the Second International Conference on Fuzzy Systems and Knowledge Discovery FSKD 2005 (LNAI volumes 3613 and 3614). The program committee selected 313 carefully revised full papers and 189 short papers for presentation in three volumes from 1887 submissions. The first volume includes all the contributions related to learning algorithms and architectures in neural networks, neurodynamics, statistical neural network models and support vector machines, and other topics in neural network models; cognitive science, neuroscience informatics, bioinformatics, and bio-medical engineering, and neural network applications such as communications and computer networks, expert system and informatics, and financial engineering. The second volume concentrates on neural network applications as pattern recognition and diagnostics, robotics and intelligent control, signal processing and multi-media, and other neural network applications; evolutionary learning, artificial immune systems, evolutionary theory, membrane, molecular, DNA computing, and ant colony systems. The third volume deals with evolutionary methodology, quantum computing, swarm intelligence and intelligent agents; natural computation applications as bioinformatics and bio-medical engineering, robotics and intelligent control, and other applications of natural computation; hardware implementations of natural computation, and fuzzy neural systems as well as soft computing.

Advances In Natural Computation

Author: Licheng Jiao
Publisher: Springer Science & Business Media
ISBN: 3540459014
Size: 61.72 MB
Format: PDF, ePub, Mobi
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Advances In Natural Computation from the Author: Licheng Jiao. This is volume I of the proceedings of the Second International Conference on Natural Computation, ICNC 2006. After a demanding review process 168 carefully revised full papers and 86 revised short papers were selected from 1915 submissions for presentation in two volumes. This first volume includes 130 papers related to artificial neural networks, natural neural systems and cognitive science, neural network applications, as well as evolutionary computation: theory and algorithms.

Recent Advances In Simulated Evolution And Learning

Author: Kay Chen Tan
Publisher: World Scientific
ISBN: 9814482064
Size: 55.53 MB
Format: PDF, Kindle
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Recent Advances In Simulated Evolution And Learning from the Author: Kay Chen Tan. ' Inspired by the Darwinian framework of evolution through natural selection and adaptation, the field of evolutionary computation has been growing very rapidly, and is today involved in many diverse application areas. This book covers the latest advances in the theories, algorithms, and applications of simulated evolution and learning techniques. It provides insights into different evolutionary computation techniques and their applications in domains such as scheduling, control and power, robotics, signal processing, and bioinformatics. The book will be of significant value to all postgraduates, research scientists and practitioners dealing with evolutionary computation or complex real-world problems. This book has been selected for coverage in: • Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings) • CC Proceedings — Engineering & Physical Sciences Contents:Evolutionary Theory:Using Evolution to Learn User Preferences (S Ujjin & P J Bentley)Evolutionary Learning Strategies for Artificial Life Characters (M L Netto et al.)The Influence of Stochastic Quality Functions on Evolutionary Search (B Sendhoff et al.)A Real-Coded Cellular Genetic Algorithm Inspired by Predator–Prey Interactions (X Li & S Sutherland)Automatic Modularization with Speciated Neural Network Ensemble (V R Khare & X Yao)Evolutionary Applications:Image Classification using Particle Swarm Optimization (M G Omran et al.)Evolution of Fuzzy Rule Based Controllers for Dynamic Environments (J Riley & V Ciesielski)A Genetic Algorithm for Joint Optimization of Spare Capacity and Delay in Self-Healing Network (S Kwong & H W Chong)Joint Attention in the Mimetic Context — What is a “Mimetic Same”? (T Shiose et al.)Time Series Forecast with Elman Neural Networks and Genetic Algorithms (L X Xu et al.)and other articles Readership: Upper level undergraduates, graduate students, academics, researchers and industrialists in artificial intelligence, evolutionary computation, fuzzy logic and neural networks. Keywords:Evolutionary Computation;Simulated Evolution and Learning;Genetic Algorithms;Artificial Evolution;Natural ComputingKey Features:Helps readers to appreciate the simplicity and elegance of the simulated evolution and learning techniquesProvides a good avenue for practitioners to deploy evolutionary computation techniques through various examplesEnables a quick start in the area of evolutionary computationPresents topics or issues of current research interestContains 43 chapters, with more than 30 different applicationsReviews:“Overall I believe the book accomplishes its objective. It covers a broad range of evolutionary computation topics in sufficient depth to be useful to both researchers and practitioners of evolutionary computation. I consider it to be a worthwhile addition to my technical library.”Garrison W Greenwood, PhD, PE Portland State University '

Recent Developments In Biologically Inspired Computing

Author: Leandro N. De Castro
Publisher: IGI Global
ISBN: 9781591403128
Size: 10.79 MB
Format: PDF, Kindle
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Recent Developments In Biologically Inspired Computing from the Author: Leandro N. De Castro. Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the exciting fields of artificial life and robotics. This book has the advantage of covering a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided so as to help newcomers and mature researchers to get the point of the new approaches presented.

Advances In Evolutionary Computing

Author: Ashish Ghosh
Publisher: Springer Science & Business Media
ISBN: 3642189652
Size: 49.31 MB
Format: PDF, Kindle
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Advances In Evolutionary Computing from the Author: Ashish Ghosh. This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.

Advances In Petri Nets 1993

Author: Grzegorz Rozenberg
Publisher: Springer Science & Business Media
ISBN: 9783540566892
Size: 24.72 MB
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Advances In Petri Nets 1993 from the Author: Grzegorz Rozenberg. The main aims of the series of volumes "Advances in Petri Nets" are: - to present to the "outside" scientific community a fair picture of recent advances in the area of Petri nets, and - to encourage those interested in the applications and the theory of concurrent systems to take a closer look at Petri nets and then join the group of researchers working in this fascinating and challenging area. This volume is based on the proceedings of the 12th International Conference on Applications and Theory of Petri Nets, held in Gjern, Denmark, in June 1991. It contains 18 selected and revised papers covering all aspects of recent Petri net research.

Advances In Bio Inspired Computing For Combinatorial Optimization Problems

Author: Camelia-Mihaela Pintea
Publisher: Springer Science & Business Media
ISBN: 3642401791
Size: 79.63 MB
Format: PDF, Mobi
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Advances In Bio Inspired Computing For Combinatorial Optimization Problems from the Author: Camelia-Mihaela Pintea. "Advances in Bio-inspired Combinatorial Optimization Problems" illustrates several recent bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired concepts and models, in particular for agents, ants and virtual robots are described. Large-scale optimization problems, for example: the Generalized Traveling Salesman Problem and the Railway Traveling Salesman Problem, are solved and their results are discussed. Some of the main concepts and models described in this book are: inner rule to guide ant search - a recent model in ant optimization, heterogeneous sensitive ants; virtual sensitive robots; ant-based techniques for static and dynamic routing problems; stigmergic collaborative agents and learning sensitive agents. This monograph is useful for researchers, students and all people interested in the recent natural computing frameworks. The reader is presumed to have knowledge of combinatorial optimization, graph theory, algorithms and programming. The book should furthermore allow readers to acquire ideas, concepts and models to use and develop new software for solving complex real-life problems.