Advances in Evolutionary Computing for System Design

Advances in Evolutionary Computing for System Design
Author: Vasile Palade
Publisher: Springer
Total Pages: 325
Release: 2007-07-07
Genre: Computers
ISBN: 3540723773

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

Design by Evolution
Author: Philip F. Hingston
Publisher: Springer Science & Business Media
Total Pages: 346
Release: 2008-09-30
Genre: Computers
ISBN: 3540741119

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

Evolutionary Design by Computers
Author: Peter Bentley
Publisher: Morgan Kaufmann
Total Pages: 482
Release: 1999-05-28
Genre: Computers
ISBN: 9781558606050

"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.

Evolutionary and Adaptive Computing in Engineering Design

Evolutionary and Adaptive Computing in Engineering Design
Author: Ian C. Parmee
Publisher: Springer Science & Business Media
Total Pages: 306
Release: 2001-06-08
Genre: Computers
ISBN: 1852330295

Following an introduction to the various techniques and examples of their routine application, this potential is explored through the introduction of various strategies that support searches across a far broader set of possible design solutions within time and budget constraints. Generic problem areas investigated include: - design decomposition; - whole-system design; - multi-objective and constraint satisfaction; - human-computer interaction; - computational expense. Appropriate strategies that help overcome problems often encountered when integrating computer-based techniques with complex, real-world design environments are described. A straightforward approach coupled with examples supports a rapid understanding of the manner in which such strategies can best be designed to handle the complexities of a particular problem.

Advances in Evolutionary Computing for System Design

Advances in Evolutionary Computing for System Design
Author: Vasile Palade
Publisher: Springer
Total Pages: 326
Release: 2007-07-10
Genre: Computers
ISBN: 9783540723769

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.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation
Author: Samuelson Hong, Wei-Chiang
Publisher: IGI Global
Total Pages: 357
Release: 2013-03-31
Genre: Computers
ISBN: 1466636297

Evolutionary computation has emerged as a major topic in the scientific community as many of its techniques have successfully been applied to solve problems in a wide variety of fields. Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. Particularly focusing on breaking trends in evolutionary computing, algorithms, and programming, this publication serves to support professionals, government employees, policy and decision makers, as well as students in this scientific field.

Advances in Evolutionary Computing

Advances in Evolutionary Computing
Author: Ashish Ghosh
Publisher: Springer Science & Business Media
Total Pages: 1001
Release: 2012-12-06
Genre: Computers
ISBN: 3642189652

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.

Automatic Generation of Neural Network Architecture Using Evolutionary Computation

Automatic Generation of Neural Network Architecture Using Evolutionary Computation
Author: E. Vonk
Publisher: World Scientific
Total Pages: 196
Release: 1997
Genre: Computers
ISBN: 9789810231064

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.

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
Author: A.E. Eiben
Publisher: Springer Science & Business Media
Total Pages: 328
Release: 2007-08-06
Genre: Computers
ISBN: 9783540401841

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.

Advanced Fuzzy Systems Design and Applications

Advanced Fuzzy Systems Design and Applications
Author: Yaochu Jin
Publisher: Springer Science & Business Media
Total Pages: 292
Release: 2003
Genre: Computers
ISBN: 9783790815375

This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with the help of fuzzy logic. On the one hand, knowledge that is understandable to human beings can be extracted from data using evolutionary and learning methods by maintaining the interpretability of the generated fuzzy rules. On the other hand, a priori knowledge like expert knowledge and human preferences can be incorporated into evolution and learning, taking advantage of the knowledge representation capability of fuzzy rule systems and fuzzy preference models. Several engineering application examples in the fields of intelligent vehicle systems, process modeling and control and robotics are presented.