Advances In Evolutionary Computing For System Design
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Advances In Evolutionary Computing For System Design
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Author : Vasile Palade
language : en
Publisher: Springer
Release Date : 2007-07-07
Advances In Evolutionary Computing For System Design written by Vasile Palade and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-07 with Computers categories.
Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book’s thirteen chapters cover a wide area of topics in evolutionary computing and applications, including an introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; and evolution of fuzzy controllers. The book will be useful to researchers in intelligent systems with interest in evolutionary computing, as well as application engineers and system designers.
Design By Evolution
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Author : Philip F. Hingston
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-09-30
Design By Evolution written by Philip F. Hingston and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-30 with Computers categories.
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.
Evolutionary Design By Computers
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Author : Peter Bentley
language : en
Publisher: Morgan Kaufmann
Release Date : 1999-05-28
Evolutionary Design By Computers written by Peter Bentley and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-05-28 with Computers categories.
"Evolutionary Design By Computers offers an enticing preview of the future of computer-aided design: Design by Darwin." Lawrence J. Fogel, President, Natural Selection, Inc. "Evolutionary design by computers is the major revolution in design thinking of the 20th century and this book is the best introduction available." Professor John Frazer, Swire Chair and Head of School of Design, the Hong Kong Polytechnic University, Author of "An Evolutionary Architecture" "Peter Bentley has assembled and edited an important collection of papers that demonstrate, convincingly, the utility of evolutionary computation for engineering solutions to complex problems in design." David B. Fogel, Editor-in-Chief, IEEE Transactions on Evolutionary Computation Some of the most startling achievements in the use of computers to automate design are being accomplished by the use of evolutionary search algorithms to evolve designs. Evolutionary Design By Computers provides a showcase of the best and most original work of the leading international experts in Evolutionary Computation, Engineering Design, Computer Art, and Artificial Life. By bringing together the highest achievers in these fields for the first time, including a foreword by Richard Dawkins, this book provides the definitive coverage of significant developments in Evolutionary Design. This book explores related sub-areas of Evolutionary Design, including: design optimization creative design the creation of art artificial life. It shows for the first time how techniques in each area overlap, and promotes the cross-fertilization of ideas and methods.
Introduction To Evolutionary Computing
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Author : A.E. Eiben
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-06
Introduction To Evolutionary Computing written by A.E. Eiben and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-06 with Computers categories.
The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
Advances In Evolutionary Computing
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Author : Ashish Ghosh
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-11-26
Advances In Evolutionary Computing written by Ashish Ghosh and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-11-26 with Computers categories.
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 Evolutionary And Deterministic Methods For Design Optimization And Control In Engineering And Sciences
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Author : David Greiner
language : en
Publisher: Springer
Release Date : 2014-11-14
Advances In Evolutionary And Deterministic Methods For Design Optimization And Control In Engineering And Sciences written by David Greiner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-14 with Technology & Engineering categories.
This book contains state-of-the-art contributions in the field of evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Specialists have written each of the 34 chapters as extended versions of selected papers presented at the International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control with Applications to Industrial and Societal Problems (EUROGEN 2013). The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Topics treated in the various chapters are classified in the following sections: theoretical and numerical methods and tools for optimization (theoretical methods and tools; numerical methods and tools) and engineering design and societal applications (turbo machinery; structures, materials and civil engineering; aeronautics and astronautics; societal applications; electrical and electronics applications), focused particularly on intelligent systems for multidisciplinary design optimization (mdo) problems based on multi-hybridized software, adjoint-based and one-shot methods, uncertainty quantification and optimization, multidisciplinary design optimization, applications of game theory to industrial optimization problems, applications in structural and civil engineering optimum design and surrogate models based optimization methods in aerodynamic design.
Evolutionary Design And Manufacture
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Author : I.C. Parmee
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-04-12
Evolutionary Design And Manufacture written by I.C. Parmee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-12 with Computers categories.
This collection of selected papers from the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM0) represents a cross-section of the state-of-the art relating to the integration of advanced stochastic search, exploration and optimisation techniques with complex problem areas relating to various aspects of design and manufacturing processes. The Conference, held in the Sherwell Conference Centre at the University of Plymouth, Devon, UK in April, 2000, is a well-established biennial event supported by several UK Engineering Institutions and recognised by the International Society for Genetic and Evolutionary Computation as a mainstream event. The conference continues to attract an international audience of leading researchers and practitioners in the field. Aerospace, mechanical, thermal and structural design are among the subjects treated. In terms of manufacturing processes, cell formation, facility design, system control and robotics are addressed. In most cases, results from their application to or integration with real-world industrial problems are very much in evidence and conclusions relating to the overall utility of the various techniques across a diverse spectrum of problem areas are available. Evolutionary computing research and its application provides the mainstay in the great majority of papers. In the tradition of the ACDM series, papers utilising neural computing technologies and related computational intelligence techniques within the design/manufacture environments have also been included. The collection further illustrates the increasing uptake of these technologies in terms of academic research, academic and industrial collaboration and industrial practice. It is apparent that application strategies are becoming increasingly sophisticated as the powerful data processing capabilities of the technologies become more apparent and their increasing potential leads to integration with more complex problem areas so the book will be of particular interest to both design and computer science research communities in addition to those industrial organisations that are either already including these technologies in day-to-day working practice or that wish to familiarise themselves with the potential utility of their application further.
New Achievements In Evolutionary Computation
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Author : Peter Korosec
language : en
Publisher: BoD – Books on Demand
Release Date : 2010-02-01
New Achievements In Evolutionary Computation written by Peter Korosec and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-01 with Computers categories.
Evolutionary computation has been widely used in computer science for decades. Even though it started as far back as the 1960s with simulated evolution, the subject is still evolving. During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. However, even with so much work done, novel research into new techniques and new areas of usage is far from over. This book presents some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in computer science, and anyone else with an interest in learning about the latest developments in evolutionary computation.
Engineering Evolutionary Intelligent Systems
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2008-01-03
Engineering Evolutionary Intelligent Systems written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-03 with Computers categories.
This edited volume deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business and commerce. It comprises 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
Automatic Generation Of Neural Network Architecture Using Evolutionary Computation
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Author : E. Vonk
language : en
Publisher: World Scientific
Release Date : 1997
Automatic Generation Of Neural Network Architecture Using Evolutionary Computation written by E. Vonk and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable neural network architecture for a given problem. The process of trial and error is not only time-consuming but may not generate an optimal network. The use of evolutionary computation is a step towards automation in neural network architecture generation.An overview of the field of evolutionary computation is presented, together with the biological background from which the field was inspired. The most commonly used approaches to a mathematical foundation of the field of genetic algorithms are given, as well as an overview of the hybridization between evolutionary computation and neural networks. Experiments on the implementation of automatic neural network generation using genetic programming and one using genetic algorithms are described, and the efficacy of genetic algorithms as a learning algorithm for a feedforward neural network is also investigated.