國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems/ edited by M.C. Bhuvaneswari.
other author:	Bhuvaneswari, M.C.
Description:	XI, 174 p. 63 illus., 8 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electronic circuits. -
Online resource:	https://doi.org/10.1007/978-81-322-1958-3
ISBN:	9788132219583

Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems[electronic resource] /edited by M.C. Bhuvaneswari. - 1st ed. 2015. - XI, 174 p. 63 illus., 8 illus. in color.online resource.

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. .

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 multi-objective GA and PSO in a simple and easily understandable way that will appeal to introductory readers.

ISBN: 9788132219583

Standard No.: 10.1007/978-81-322-1958-3doiSubjects--Topical Terms:

563332
Electronic circuits.

LC Class. No.: TK7888.4

Dewey Class. No.: 621.3815

Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
LDR:03137nam a22003975i 4500 001 963088
003 DE-He213
005 20200701130505.0
007 cr nn 008mamaa
008 201211s2015 ii | s |||| 0|eng d
020 $a 9788132219583 $9 978-81-322-1958-3
024 7 $a 10.1007/978-81-322-1958-3 $2 doi
035 $a 978-81-322-1958-3
050 4 $a TK7888.4
072 7 $a TJFC $2 bicssc
072 7 $a TEC008010 $2 bisacsh
072 7 $a TJFC $2 thema
082 0 4 $a 621.3815 $2 23
245 1 0 $a Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems $h [electronic resource] / $c edited by M.C. Bhuvaneswari.
250 $a 1st ed. 2015.
264 1 $a New Delhi : $b Springer India : $b Imprint: Springer, $c 2015.
300 $a XI, 174 p. 63 illus., 8 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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. .
520 $a 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 multi-objective GA and PSO in a simple and easily understandable way that will appeal to introductory readers.
650 0 $a Electronic circuits. $3 563332
650 0 $a Computational intelligence. $3 568984
650 0 $a Mathematical optimization. $3 527675
650 1 4 $a Circuits and Systems. $3 670901
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Optimization. $3 669174
700 1 $a Bhuvaneswari, M.C. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1062508
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9788132219590
776 0 8 $i Printed edition: $z 9788132219576
776 0 8 $i Printed edition: $z 9788132235392
856 4 0 $u https://doi.org/10.1007/978-81-322-1958-3
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)