000 03320nam a22004695i 4500
001 978-81-322-1958-3
003 DE-He213
005 20200421111850.0
007 cr nn 008mamaa
008 140820s2015 ii | s |||| 0|eng d
020 _a9788132219583
_9978-81-322-1958-3
024 7 _a10.1007/978-81-322-1958-3
_2doi
050 4 _aTK7888.4
072 7 _aTJFC
_2bicssc
072 7 _aTEC008010
_2bisacsh
082 0 4 _a621.3815
_223
245 1 0 _aApplication of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems
_h[electronic resource] /
_cedited by M.C. Bhuvaneswari.
264 1 _aNew Delhi :
_bSpringer India :
_bImprint: Springer,
_c2015.
300 _aXI, 174 p. 63 illus., 8 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction 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 _aThis 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 _aEngineering.
650 0 _aMathematical optimization.
650 0 _aComputational intelligence.
650 0 _aElectronic circuits.
650 1 4 _aEngineering.
650 2 4 _aCircuits and Systems.
650 2 4 _aComputational Intelligence.
650 2 4 _aOptimization.
700 1 _aBhuvaneswari, M.C.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9788132219576
856 4 0 _uhttp://dx.doi.org/10.1007/978-81-322-1958-3
912 _aZDB-2-ENG
942 _cEBK
999 _c56063
_d56063