| Titre : |
Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems |
| Type de document : |
texte imprimé |
| Auteurs : |
M. C. Bhuvaneswari, Auteur ; M. C. Bhuvaneswari, Autre |
| Editeur : |
New Delhi : Springer |
| Année de publication : |
cop. 2015 |
| Importance : |
1 online resource (1 ressource en ligne (xi, 174 pages)) |
| Format : |
17*24cm. |
| ISBN/ISSN/EAN : |
978-81-322-1958-3 |
| Note générale : |
ASIN : B00RZKKHCY
Éditeur : Springer; 2015e édition (20 août 2014)
Langue : Anglais
Taille du fichier : 3947 KB
Synthèse vocale : Activée
Composition améliorée : Activé
X-Ray : Non activée
Word Wise : Non activé
Nombre de pages de l'édition imprimée : 241 pages |
| Langues : |
Anglais (eng) |
| Mots-clés : |
embedded systems circuit partitioning design space cross-talk delay distributed systems |
| Index. décimale : |
621 |
| Résumé : |
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.
Biographie de l'auteur
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. --Ce texte fait référence à l'édition paperback.sommaire:introduction to multi-objective evolutionary algorithms-hardware/software paratitioning for embedded systems-circuits paratitioning for vlsi layout-desing of opertional ampifier-desing space exploration for scheduling and allocation in exploration for schedling and allocation in high level synthesis of datapaths-desing space exploration of datapath(architecture)in high-level-synthesis for computation intensive applications-desing flow from algorithm to rtl using evolutioary exploration approach-cross talk delay fault test generation-scheduling in heterogeneous distributed systems |
| Note de contenu : |
Titre de l'écran-titre (visionné le 27 octobre 2014)
index |
Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems [texte imprimé] / M. C. Bhuvaneswari, Auteur ; M. C. Bhuvaneswari, Autre . - New Delhi : Springer, cop. 2015 . - 1 online resource (1 ressource en ligne (xi, 174 pages)) ; 17*24cm. ISBN : 978-81-322-1958-3 ASIN : B00RZKKHCY
Éditeur : Springer; 2015e édition (20 août 2014)
Langue : Anglais
Taille du fichier : 3947 KB
Synthèse vocale : Activée
Composition améliorée : Activé
X-Ray : Non activée
Word Wise : Non activé
Nombre de pages de l'édition imprimée : 241 pages Langues : Anglais ( eng)
| Mots-clés : |
embedded systems circuit partitioning design space cross-talk delay distributed systems |
| Index. décimale : |
621 |
| Résumé : |
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.
Biographie de l'auteur
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. --Ce texte fait référence à l'édition paperback.sommaire:introduction to multi-objective evolutionary algorithms-hardware/software paratitioning for embedded systems-circuits paratitioning for vlsi layout-desing of opertional ampifier-desing space exploration for scheduling and allocation in exploration for schedling and allocation in high level synthesis of datapaths-desing space exploration of datapath(architecture)in high-level-synthesis for computation intensive applications-desing flow from algorithm to rtl using evolutioary exploration approach-cross talk delay fault test generation-scheduling in heterogeneous distributed systems |
| Note de contenu : |
Titre de l'écran-titre (visionné le 27 octobre 2014)
index |
|  |
Application of evolutionary algorithms for multi-objective optimization in VLSI and embedded systems