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

  • M.C. Bhuvaneswari

Table of contents

  1. Front Matter
    Pages i-xi
  2. M. C. Bhuvaneswari, G. Subashini
    Pages 1-20
  3. M. C. Bhuvaneswari, M. Jagadeeswari
    Pages 21-36
  4. M. C. Bhuvaneswari, M. Jagadeeswari
    Pages 37-46
  5. M. C. Bhuvaneswari, M. Shanthi
    Pages 47-67
  6. M. C. Bhuvaneswari, D. S. Harish Ram, R. Neelaveni
    Pages 69-92
  7. M. C. Bhuvaneswari, S. Jayanthy
    Pages 125-145
  8. M. C. Bhuvaneswari, G. Subashini
    Pages 147-169
  9. Back Matter
    Pages 171-174

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 multi-objective GA and PSO in a simple and easily understandable way that will appeal to introductory readers.


Embedded Systems Evolutionary Techniques Genetic Algorithms Multi-objective Optimization VLSI Design

Editors and affiliations

  • M.C. Bhuvaneswari
    • 1
  1. 1.Electrical and Electronics EngineeringPSG College of TechnologyCoimbatoreIndia

Bibliographic information

  • DOI
  • Copyright Information Springer India 2015
  • Publisher Name Springer, New Delhi
  • eBook Packages Engineering
  • Print ISBN 978-81-322-1957-6
  • Online ISBN 978-81-322-1958-3
  • Buy this book on publisher's site