.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Application of Evolutionary Algorithms for Multi-Objective Optimization in VLSI and Embedded Systems
M. C. . Ed(S): Bhuvaneswari
€ 126.53
FREE Delivery in Ireland
Description for Application of Evolutionary Algorithms for Multi-Objective Optimization in VLSI and Embedded Systems
Paperback. Editor(s): Bhuvaneswari, M. C. Num Pages: 185 pages, 55 black & white illustrations, 8 colour illustrations, 66 black & white tables, biograph. BIC Classification: PBU; TJFC; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 297.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer, India, Private Ltd India
Number of pages
185
Condition
New
Number of Pages
174
Place of Publication
New Delhi, India
ISBN
9788132235392
SKU
V9788132235392
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About M. C. . Ed(S): Bhuvaneswari
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 ... Read more
Reviews for Application of Evolutionary Algorithms for Multi-Objective Optimization in VLSI and Embedded Systems