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

Language: English

Published by Springer, Springer Sep 2016, 2016

8132235398 / 9788132235392

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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 KG, Sachsenplatz 4-6, 1201 Wien 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 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
8132235398
ISBN 13
9788132235392
Item weight
295 grams
Dimensions
235x155x11 mm

buchversandmimpf2000

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