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008			140820s2015 ii | s |||| 0|eng d
020			_a9788132219583
024	7		_a10.1007/978-81-322-1958-3 _2doi
040			_bspa _dES-MaUEC
050		4	_aTK7888.4 _b2015 EB
245	1	0	_aApplication of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems _cedited by M.C. Bhuvaneswari.
264		1	_aNew Delhi _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XI, 174 páginas 63 ilustraciones, 8 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aEngineering (Springer-11647)
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	3		_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.
988			_aEBSPRINGER_2018
650		7	_aIngeniería de sistemas _2embne _9138451
650		7	_aCircuitos eléctricos _2embne _9139226
700	1		_aBhuvaneswari, M. C. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/nb2018003727 _1http://viaf.org/viaf/316645519/ _9670569
776	0	8	_iEdición impresa: _z9788132219590
776	0	8	_iEdición impresa: _z9788132219576
776	0	8	_iEdición impresa: _z9788132235392
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-81-322-1958-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI