Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

Editors: Bhuvaneswari, M.C. (Ed.)

  • 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
see more benefits

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-81-322-1958-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-81-322-1957-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 27, 2016
  • ISBN 978-81-322-3539-2
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
About this book

This book describes how evolutionary algorithms (EA), including genetic algorithms (GA) and particle swarm optimization (PSO) can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization problems can be modelled as multi-objective formulations. This book provides an introduction to multi-objective optimization using meta-heuristic algorithms, GA and PSO and how they can be applied to problems like hardware/software partitioning in embedded systems, circuit partitioning in VLSI, design of operational amplifiers in analog VLSI, design space exploration in high-level synthesis, delay fault testing in VLSI testing and scheduling in heterogeneous distributed systems. It is shown how, in each case, the various aspects of the EA, namely its representation and operators like crossover, mutation, etc, can be separately formulated to solve these problems. This book is intended for design engineers and researchers in the field of VLSI and embedded system design. The book introduces the multi-objective GA and PSO in a simple and easily understandable way that will appeal to introductory readers.

About the authors

M.C. Bhuvaneswari is Associate Professor in Department of Electrical and Electronics Engineering at PSG College of Technology, Coimbatore, India. She completed her PhD in VLSI Design and Testing from Bharathiar University in 2002. She has over 20 years of research and teaching experience. Her areas of research interest include VLSI design and testing, genetic algorithms, digital signal processing, digital systems design and microprocessors. She has published her work in several journals and conferences of national and international repute. Dr. Bhuvaneswari is a Life Member of Indian Society for Technical Education, Institution of Engineers (India), Computer Society of India and System Society of India. She was honoured with the Dakshinamoorthy Award for Teaching Excellence in the year 2010.

Table of contents (9 chapters)

  • Introduction to Multi-objective Evolutionary Algorithms

    Bhuvaneswari, M. C. (et al.)

    Pages 1-20

  • Hardware/Software Partitioning for Embedded Systems

    Bhuvaneswari, M. C. (et al.)

    Pages 21-36

  • Circuit Partitioning for VLSI Layout

    Bhuvaneswari, M. C. (et al.)

    Pages 37-46

  • Design of Operational Amplifier

    Bhuvaneswari, M. C. (et al.)

    Pages 47-67

  • Design Space Exploration for Scheduling and Allocation in High Level Synthesis of Datapaths

    Bhuvaneswari, M. C. (et al.)

    Pages 69-92

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-81-322-1958-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-81-322-1957-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 27, 2016
  • ISBN 978-81-322-3539-2
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
Editors
  • M.C. Bhuvaneswari
Copyright
2015
Publisher
Springer India
Copyright Holder
Springer India
eBook ISBN
978-81-322-1958-3
DOI
10.1007/978-81-322-1958-3
Hardcover ISBN
978-81-322-1957-6
Softcover ISBN
978-81-322-3539-2
Edition Number
1
Number of Pages
XI, 174
Number of Illustrations and Tables
55 b/w illustrations, 8 illustrations in colour
Topics