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019			_a881708605 _a961619873 _a962636161
020			_a9781118832011 _q(electronic bk.)
020			_a1118832019 _q(electronic bk.)
020			_a9781118833209 _q(electronic bk.)
020			_a1118833201 _q(electronic bk.)
020			_a9781306638920
020			_a1306638925
020			_z9781118832011
020			_z1118832019
020			_z9781118341131 _q(hardback)
020			_z1118341139
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035			_a(OCoLC)876514078 _z(OCoLC)881708605 _z(OCoLC)961619873 _z(OCoLC)962636161
050		4	_aTK6570.M6 _bD65 2014
072		7	_aTEC _x009070 _2bisacsh
082	0	4	_a621.382/1201519625 _223
084			_aCOM051300 _2bisacsh
049			_aMAIN
245	0	0	_aEvolutionary algorithms for mobile ad hoc networks / _cBernabé Dorronsoro [and others].
260			_aHoboken : _bWiley, _c2014.
300			_a1 online resource (238 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aNature-Inspired Computing Series
588	0		_aPrint version record.
520			_aThis comprehensive guide describes how evolutionary algorithms (EA) may be used to identify, model, and optimize day-to-day problems that arise for researchers in optimization and mobile networking. It provides efficient and accurate information on dissemination algorithms, topology management, and mobility models to address challenges in the field. It is an ideal book for researchers and students in the field of mobile networks.
504			_aIncludes bibliographical references.
505	0		_aSERIES PAGE; TITLE PAGE; COPYRIGHT PAGE; DEDICATION; PREFACE; PART I: BASIC CONCEPTS AND LITERATURE REVIEW; 1 INTRODUCTION TO MOBILE AD HOC NETWORKS; 1.1 MOBILE AD HOC NETWORKS; 1.2 VEHICULAR AD HOC NETWORKS; 1.3 SENSOR NETWORKS; 1.4 CONCLUSION; REFERENCES; 2 INTRODUCTION TO EVOLUTIONARY ALGORITHMS; 2.1 OPTIMIZATION BASICS; 2.2 EVOLUTIONARY ALGORITHMS; 2.3 BASIC COMPONENTS OF EVOLUTIONARY ALGORITHMS; 2.4 PANMICTIC EVOLUTIONARY ALGORITHMS; 2.5 EVOLUTIONARY ALGORITHMS WITH STRUCTURED POPULATIONS; 2.6 MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS; 2.7 CONCLUSION; REFERENCES
505	8		_a3 SURVEY ON OPTIMIZATION PROBLEMS FOR MOBILE AD HOC NETWORKS3.1 TAXONOMY OF THE OPTIMIZATION PROCESS; 3.2 STATE OF THE ART; 3.3 CONCLUSION; REFERENCES; 4 MOBILE NETWORKS SIMULATION; 4.1 SIGNAL PROPAGATION MODELING; 4.2 STATE OF THE ART OF NETWORK SIMULATORS; 4.3 MOBILITY SIMULATION; 4.4 CONCLUSION; REFERENCES; PART II: PROBLEMS OPTIMIZATION; 5 PROPOSED OPTIMIZATION FRAMEWORK; 5.1 ARCHITECTURE; 5.2 OPTIMIZATION ALGORITHMS; 5.3 SIMULATORS; 5.4 EXPERIMENTAL SETUP; 5.5 CONCLUSION; REFERENCES; 6 BROADCASTING PROTOCOL; 6.1 THE PROBLEM; 6.2 EXPERIMENTS; 6.3 ANALYSIS OF RESULTS; 6.4 CONCLUSION
505	8		_a10.3 GLOBAL DISCUSSION ON THE PERFORMANCE OF THE ALGORITHMS10.4 CONCLUSION; REFERENCES; INDEX; END USER LICENSE AGREEMENT
650		0	_aMobile communication systems.
650		0	_aEvolutionary computation.
650		0	_aGenetic algorithms.
650		7	_aTECHNOLOGY & ENGINEERING _xMechanical. _2bisacsh
650		7	_aEvolutionary computation. _2fast _0(OCoLC)fst00917338
650		7	_aGenetic algorithms. _2fast _0(OCoLC)fst00939996
650		7	_aMobile communication systems. _2fast _0(OCoLC)fst01024207
655		4	_aElectronic books.
700	1		_aDorronsoro, Bernabé.
776	0	8	_iPrint version: _aDorronsoro, Bernabé. _tEvolutionary algorithms for mobile ad hoc networks. _dHoboken, New Jersey : John Wiley & Sons Inc., [2014] _kNature-inspired computing series _z9781118341131 _w(DLC) 10858476
830		0	_aNature-inspired computing series.
856	4	0	_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118833209 _zWiley Online Library [Free Download only for SUST IP]
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