Description: Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): M.C. Bhuvaneswari Format: Paperback Publisher: Springer, India, Private Ltd, India Imprint: Springer, India, Private Ltd ISBN-13: 9788132235392, 978-8132235392 Synopsis 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.
Price: 72.97 GBP
Location: Aldershot
End Time: 2024-11-29T11:02:24.000Z
Shipping Cost: 37.51 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 60 days
Return policy details:
Book Title: Application of Evolutionary Algorithms for Multi-objective Opt...
Number of Pages: 174 Pages
Language: English
Publication Name: Application of Evolutionary Algorithms for Multi-Objective Optimization in Vlsi and Embedded Systems
Publisher: Springer, India, Private LTD
Publication Year: 2016
Subject: Computer Science, Mathematics, Physics
Item Height: 235 mm
Item Weight: 2934 g
Type: Textbook
Author: M.C. Bhuvaneswari
Item Width: 155 mm
Format: Paperback