Recent Advances In Natural Computing

Author: Yasuhiro Suzuki
Publisher: Springer
ISBN: 4431551050
Size: 49.66 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 symposium “7th International Workshop on Natural Computing” (IWNC7), held in Tokyo, Japan, in 2013. The target audience is not limited to researchers working in natural computing but also 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: 3540283250
Size: 41.97 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 jointly 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 as communications and computer networks, expert system and informatics, and financial engineering. The second volume concentrates on neural network applications such 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: 51.27 MB
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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: 35.42 MB
Format: PDF, Docs
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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 '

Design By Evolution

Author: Philip F. Hingston
Publisher: Springer Science & Business Media
ISBN: 3540741119
Size: 48.76 MB
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Design By Evolution from the Author: Philip F. Hingston. Evolution is Nature’s design process. The natural world is full of wonderful examples of its successes, from engineering design feats such as powered flight, to the design of complex optical systems such as the mammalian eye, to the merely stunningly beautiful designs of orchids or birds of paradise. With increasing computational power, we are now able to simulate this process with greater fidelity, combining complex simulations with high-performance evolutionary algorithms to tackle problems that used to be impractical. This book showcases the state of the art in evolutionary algorithms for design. The chapters are organized by experts in the following fields: evolutionary design and "intelligent design" in biology, art, computational embryogeny, and engineering. The book will be of interest to researchers, practitioners and graduate students in natural computing, engineering design, biology and the creative arts.

Applications Of Multi Objective Evolutionary Algorithms

Author: Carlos A. Coello Coello
Publisher: World Scientific
ISBN: 9812561064
Size: 22.35 MB
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Applications Of Multi Objective Evolutionary Algorithms from the Author: Carlos A. Coello Coello. - Detailed MOEA applications discussed by international experts - State-of-the-art practical insights in tackling statistical optimization with MOEAs - A unique monograph covering a wide spectrum of real-world applications - Step-by-step discussion of MOEA applications in a variety of domains

An Introduction To Natural Computation

Author: Dana Harry Ballard
Publisher: MIT Press
ISBN: 9780262522588
Size: 69.56 MB
Format: PDF, ePub, Mobi
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An Introduction To Natural Computation from the Author: Dana Harry Ballard. "This is a wonderful book that brings together in one place the modern view of computation as found in nature. It is well written and has something for everyone from the undergraduate to the advanced researcher." -- Terrence J. Sejnowski, Howard Hughes Medical Institute at The Salk Institute for Biological Studies, La Jolla, California It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An "Introduction to Natural Computation" is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brain's programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models--ranging from neural network learning through reinforcement learning to genetic learning--and situates the various models in their appropriate neural context. To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An "Introduction to Natural Computation" takes the middle ground and stresses the computational task while staying near the neurobiology. The material is accessible to advanced undergraduates as well as beginning graduate students. CONTENTS: 1. Introduction Part I "Core Concepts" 2. Fitness 3. Programs 4. Data 5. Dynamics 6. Optimization Part II "Memories" 7. Content Addressible Memories 8. Supervised Learning 9. Unsupervised Learning Part III "Programs" 10. Markov Models 11. Reinforcement Learning Part IV "Systems" 12. Genetic Algorithms

Recent Developments In Biologically Inspired Computing

Author: Leandro N. De Castro
Publisher: IGI Global
ISBN: 9781591403128
Size: 65.53 MB
Format: PDF, Mobi
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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 Bio Inspired Computing For Combinatorial Optimization Problems

Author: Camelia-Mihaela Pintea
Publisher: Springer Science & Business Media
ISBN: 3642401791
Size: 18.45 MB
Format: PDF
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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.

Handbook Of Natural Computing

Author: Grzegorz Rozenberg
Publisher: Springer
ISBN: 9783540929116
Size: 45.38 MB
Format: PDF, ePub, Mobi
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Handbook Of Natural Computing from the Author: Grzegorz Rozenberg. Natural Computing is 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. Examples of the first strand of research covered by the handbook include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows. The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation. We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this handbook is a major record of this important development.