Overview
- One of its kind book on multi-objective optimization applied to VLSI design and embedded systems
- Introduces multi-objective genetic algorithms (GA) and particle swarm optimization (PSO)
- Analyzes experimental results
- Includes supplementary material: sn.pub/extras
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Table of contents(9 chapters)
About this book
Editors and Affiliations
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Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, India
M.C. Bhuvaneswari
About the editor
Bibliographic Information
Book Title: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
Editors: M.C. Bhuvaneswari
DOI: https://doi.org/10.1007/978-81-322-1958-3
Publisher: Springer New Delhi
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer India 2015
Hardcover ISBN: 978-81-322-1957-6Published: 02 September 2014
Softcover ISBN: 978-81-322-3539-2Published: 10 September 2016
eBook ISBN: 978-81-322-1958-3Published: 20 August 2014
Edition Number: 1
Number of Pages: XI, 174
Number of Illustrations: 55 b/w illustrations, 8 illustrations in colour
Topics: Circuits and Systems, Computational Intelligence, Optimization