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

Author: M C Bhuvaneswari
Publisher: Springer India, 2015.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: M C Bhuvaneswari
ISBN: 1322173966 9781322173962 9788132219583 8132219589 9788132219576 8132219570
OCLC Number: 893186294
Description: 1 online resource
Contents: Introduction to Multi-Objective Evolutionary Algorithms --
Hardware/Software Partitioning for Embedded Systems --
Circuit Partitioning for VLSI Layout --
Design of Operational Amplifier --
Design Space Exploration for Scheduling and Allocation in High Level Synthesis of Datapaths --
Design Space Exploration of Datapath (Architecture) in High Level Synthesis for Computation Intensive Applications --
Design Flow from Algorithm to RTL using Evolutionary Exploration Approach --
Crosstalk Delay Fault Test Generation --
Scheduling in Heterogeneous Distributed Systems.
Responsibility: M.C. Bhuvaneswari, Editor.

Abstract:

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  Read more...

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