04503cam a2200757Ia 4500 ocn876514078 OCoLC 20171030135803.0 m o d cr cnu---unuuu 140412s2014 nju ob 000 0 eng d 016219363 Uk 9781118832011 (electronic bk.) 1118832019 (electronic bk.) 9781118833209 (electronic bk.) 1118833201 (electronic bk.) 9781306638920 1306638925 9781118832011 1118832019 9781118341131 (hardback) 1118341139 AU@ 000052923946 CHBIS 010259692 CHVBK 325942137 DEBBG BV042989580 DEBBG BV043396685 DEBBG BV043608788 DEBSZ 431671400 DEBSZ 449425037 DEBSZ 475024613 NZ1 15581380 (OCoLC)876514078 (OCoLC)881708605 (OCoLC)961619873 (OCoLC)962636161 EBLCP eng pn EBLCP OCLCO IDEBK YDXCP OCLCO E7B DG1 N$T CDX OCLCF COO OCLCQ RECBK CUS UKMGB DEBSZ DEBBG OCLCQ EBLCP MAIN TK6570.M6 D65 2014 TEC 009070 bisacsh 621.382/1201519625 23 COM051300 bisacsh Evolutionary algorithms for mobile ad hoc networks / Bernabé Dorronsoro [and others]. [electronic resource] Hoboken : Wiley, 2014. 1 online resource (238 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier Nature-Inspired Computing Series Includes bibliographical references. SERIES 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 3 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 10.3 GLOBAL DISCUSSION ON THE PERFORMANCE OF THE ALGORITHMS10.4 CONCLUSION; REFERENCES; INDEX; END USER LICENSE AGREEMENT This 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. Print version record. Mobile communication systems. Evolutionary computation. Genetic algorithms. TECHNOLOGY & ENGINEERING Mechanical. bisacsh Evolutionary computation. fast (OCoLC)fst00917338 Genetic algorithms. fast (OCoLC)fst00939996 Mobile communication systems. fast (OCoLC)fst01024207 Electronic books. Dorronsoro, Bernabé. Print version: Dorronsoro, Bernabé. Evolutionary algorithms for mobile ad hoc networks. Hoboken, New Jersey : John Wiley & Sons Inc., [2014] Nature-inspired computing series 9781118341131 (DLC) 10858476 Nature-inspired computing series. http://onlinelibrary.wiley.com/book/10.1002/9781118833209 Wiley Online Library ddc BK 207370 207370