Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
Keywords
About this book
Evolutionary Algorithms for Embedded System Design describes how Evolutionary Algorithm (EA) concepts can be applied to circuit and system design - an area where time-to-market demands are critical. EAs create an interesting alternative to other approaches since they can be scaled with the problem size and can be easily run on parallel computer systems. This book presents several successful EA techniques and shows how they can be applied at different levels of the design process. Starting on a high-level abstraction, where software components are dominant, several optimization steps are demonstrated, including DSP code optimization and test generation. Throughout the book, EAs are tested on real-world applications and on large problem instances. For each application the main criteria for the successful application in the corresponding domain are discussed. In addition, contributions from leading international researchers provide the reader with a variety of perspectives, including a special focus on the combination of EAs with problem specific heuristics.
Evolutionary Algorithms for Embedded System Design is an excellent reference for both practitioners working in the area of circuit and system design and for researchers in the field of evolutionary concepts.
Editors and Affiliations
Bibliographic Information
Book Title: Evolutionary Algorithms for Embedded System Design
Editors: Rolf Drechsler, Nicole Drechsler
Series Title: Genetic Algorithms and Evolutionary Computation
DOI: https://doi.org/10.1007/978-1-4615-1035-2
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2003
Hardcover ISBN: 978-1-4020-7276-5Published: 30 November 2002
Softcover ISBN: 978-1-4613-5362-1Published: 23 October 2012
eBook ISBN: 978-1-4615-1035-2Published: 06 December 2012
Series ISSN: 1568-2587
Edition Number: 1
Number of Pages: XXVIII, 177
Topics: Circuits and Systems, Programming Techniques, Theory of Computation, Artificial Intelligence, Computer-Aided Engineering (CAD, CAE) and Design, Optimization