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001 ocn876514078
003 OCoLC
005 20171030135803.0
006 m o d
007 cr cnu---unuuu
008 140412s2014 nju ob 000 0 eng d
016 7 _a016219363
_2Uk
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
029 1 _aAU@
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029 1 _aCHBIS
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035 _a(OCoLC)876514078
_z(OCoLC)881708605
_z(OCoLC)961619873
_z(OCoLC)962636161
040 _aEBLCP
_beng
_epn
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_dOCLCO
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_dOCLCO
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049 _aMAIN
050 4 _aTK6570.M6
_bD65 2014
072 7 _aTEC
_x009070
_2bisacsh
082 0 4 _a621.382/1201519625
_223
084 _aCOM051300
_2bisacsh
245 0 0 _aEvolutionary algorithms for mobile ad hoc networks /
_cBernabé Dorronsoro [and others].
_h[electronic resource]
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
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
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.
588 0 _aPrint version record.
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
942 _2ddc
_cBK
999 _c207370
_d207370