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

Language: English

Published by Springer, Springer Sep 2014, 2014

8132219570 / 9788132219576

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 188 pp. Englisch.

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Title
Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
Author
M. C. Bhuvaneswari
Publisher
Springer, Springer Sep 2014
Publication year
2014
Condition
Neu
Binding
Buch
Language
English
ISBN 10
8132219570
ISBN 13
9788132219576
Item weight
453 grams
Dimensions
241x160x16 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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