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020 _a1118832019
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024 7 _a10.1002/9781118833209
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035 _a(OCoLC)876514078
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037 _a7748369
_bIEEE
050 4 _aTK6570.M6
_bD65 2014
072 7 _aTEC
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082 0 4 _a621.382/1201519625
_223
084 _aCOM051300
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049 _aMAIN
245 0 0 _aEvolutionary algorithms for mobile ad hoc networks /
_cBernab�e 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.
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aMobile communication systems.
650 0 _aEvolutionary computation.
650 0 _aGenetic algorithms.
650 6 _aRadiocommunications mobiles.
650 6 _aR�eseaux neuronaux �a structure �evolutive.
650 6 _aAlgorithmes g�en�etiques.
650 7 _aTECHNOLOGY & ENGINEERING
_xMechanical.
_2bisacsh
650 7 _aEvolutionary computation
_2fast
650 7 _aGenetic algorithms
_2fast
650 7 _aMobile communication systems
_2fast
700 1 _aDorronsoro, Bernab�e.
758 _ihas work:
_aEvolutionary algorithms for mobile ad hoc networks (Text)
_1https://id.oclc.org/worldcat/entity/E39PCFYDP6FQPmMJWX8tqcG7Md
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version:
_aDorronsoro, Bernab�e.
_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 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781118833209
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