LEADER 02235nam 2200541 450 001 9910459082503321 005 20200520144314.0 010 $a0-12-384872-5 035 $a(CKB)2660000000011290 035 $a(EBL)1562324 035 $a(OCoLC)863824268 035 $a(SSID)ssj0001141602 035 $a(PQKBManifestationID)11618435 035 $a(PQKBTitleCode)TC0001141602 035 $a(PQKBWorkID)11091853 035 $a(PQKB)10619107 035 $a(MiAaPQ)EBC1562324 035 $a(Au-PeEL)EBL1562324 035 $a(CaPaEBR)ebr10815289 035 $a(CaONFJC)MIL550812 035 $a(EXLCZ)992660000000011290 100 $a20131226d2014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPlant virology /$fRoger Hull, John Innes Centre, Norwich, UK 205 $aFifth edition. 210 1$aLondon :$cAcademic Press,$d2014. 215 $a1 online resource (1119 p.) 300 $aDescription based upon print version of record. 311 $a0-12-384871-7 320 $aIncludes bibliographical references and index. 327 $asection I. Introduction -- section II. Virus-plant-vector : molecular mechanisms and interactions -- section III. Applied aspects -- section IV. Plant virus viromics. 330 $aThe seminal text Plant Virology is now in its fifth edition. It has been 10 years since the publication of the fourth edition, during which there has been an explosion of conceptual and factual advances. The fifth edition of Plant Virology updates and revises many details of the previous edition while retaining the important earlier results that constitute the field's conceptual foundation. Revamped art, along with fully updated references and increased focus on molecular biology, transgenic resistance, aphid transmission, and new, cutting-edge topics, bring the volume up to date 606 $aPlant viruses 608 $aElectronic books. 615 0$aPlant viruses. 676 $a1119 700 $aHull$b Roger$0893479 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910459082503321 996 $aPlant virology$91995989 997 $aUNINA LEADER 01046nam 2200253la 450 001 9910481918803321 005 20221108094756.0 035 $a(UK-CbPIL)2090300112 035 $a(CKB)5500000000086683 035 $a(EXLCZ)995500000000086683 100 $a20210618d1642 uy | 101 0 $adut 135 $aurcn||||a|bb| 200 10$aVlissings Redens Lusthof, beplant met seer schoone en bequame oeffeningen, uyt-gegeven by de Reden-Camer tot Vlissinge, De Blaeu Acoleye, Den Geest ondersoecket al$b[electronic resource] 210 $aVlissingen $cJacob Jansz Pick$d1642 215 $aOnline resource (8°) 300 $aReproduction of original in Koninklijke Bibliotheek, Nationale bibliotheek van Nederland. 700 $aAnon$0815482 801 0$bUk-CbPIL 801 1$bUk-CbPIL 906 $aBOOK 912 $a9910481918803321 996 $aVlissings Redens Lusthof, beplant met seer schoone en bequame oeffeningen, uyt-gegeven by de Reden-Camer tot Vlissinge, De Blaeu Acoleye, Den Geest ondersoecket al$92163681 997 $aUNINA LEADER 05490nam 22007454a 450 001 9911020136803321 005 20241106133153.0 010 $a9786610277568 010 $a9781280277566 010 $a1280277564 010 $a9780470315408 010 $a0470315407 010 $a9780471739388 010 $a0471739383 010 $a9780471739371 010 $a0471739375 035 $a(CKB)1000000000355437 035 $a(EBL)239396 035 $a(OCoLC)77371883 035 $a(SSID)ssj0000217953 035 $a(PQKBManifestationID)11198569 035 $a(PQKBTitleCode)TC0000217953 035 $a(PQKBWorkID)10212807 035 $a(PQKB)10730171 035 $a(MiAaPQ)EBC239396 035 $a(PPN)243027850 035 $a(Perlego)2772809 035 $a(EXLCZ)991000000000355437 100 $a20050118d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aParallel metaheuristics $ea new class of algorithms /$fedited by Enrique Alba 210 $aHoboken, NJ $cJohn Wiley$d2005 215 $a1 online resource (574 p.) 225 1 $aWiley series on parallel and distributed computing 300 $aDescription based upon print version of record. 311 08$a9780471678069 311 08$a0471678066 320 $aIncludes bibliographical references and index. 327 $aPARALLEL METAHEURISTICS A New Class of Algorithms; Contents; Foreword; Preface; Contributors; Part I INTRODUCTION TO METAHEURISTICS AND PARALLELISM; 1 An Introduction to Metaheuristic Techniques; 1.1 Introduction; 1.2 Trajectory Methods; 1.3 Population-Based Methods; 1.4 Decentralized Metaheuristics; 1.5 Hybridization of Metaheuristics; 1.6 Conclusions; References; 2 Measuring the Performance of Parallel Metaheuristics; 2.1 Introduction; 2.2 Parallel Performance Measures; 2.3 How to Report Results; 2.4 Illustrating the Influence of Measures; 2.5 Conclusions; References 327 $a3 New Technologies in Parallelism3.1 Introduction; 3.2 Parallel Computer Architectures: An Overview; 3.3 Shared-Memory and Distributed-Memory Programming; 3.4 Shared-Memory Tools; 3.5 Distributed-Memory Tools; 3.6 Which of Them'?; 3.7 Summary; References; 4 Metaheuristics and Parallelism; 4.1 Introduction; 4.2 Parallel LSMs; 4.3 Case Studies of Parallel LSMs; 4.4 Parallel Evolutionary Algorithms; 4.5 Case Studies of Parallel EAs; 4.6 Other Models; 4.7 Conclusions; References; Part II PARALLEL METAHEURISTIC MODELS; 5 Parallel Genetic Algorithms; 5.1 Introduction 327 $a5.2 Panmictic Genetic Algorithms5.3 Structured Genetic Algorithms; 5.4 Parallel Genetic Algorithms; 5.5 Experimental Results; 5.6 Summary; References; 6 Parallel Genetic Programming; 6.1 Introduction to GP; 6.2 Models of Parallel and Distributed GP; 6.3 Problems; 6.4 Real-Life Applications; 6.5 Placement and Routing in FPGA; 6.6 Data Classification Using Cellular Genetic Programming; 6.7 Concluding Discussion; References; 7 Parallel Evolution Strategies; 7.1 Introduction; 7.2 Deployment Scenarios of Parallel Evolutionary Algorithms; 7.3 Sequential Evolutionary Algorithms 327 $a7.4 Parallel Evolutionary Algorithms7.5 Conclusions; References; 8 Parallel Ant Colony Algorithms; 8.1 Introduction; 8.2 Ant Colony Optimization; 8.3 Parallel ACO; 8.4 Hardware Parallelization of ACO; 8.5 Other Ant Colony Approaches; References; 9 Parallel Estimation of Distribution Algorithms; 9.1 Introduction; 9.2 Levels of Parallelism in EDA; 9.3 Parallel Models for EDAs; 9.4 A Classification of Parallel EDAs; 9.5 Conclusions; References; 10 Parallel Scatter Search; 10.1 Introduction; 10.2 Scatter Search; 10.3 Parallel Scatter Search 327 $a10.4 Application of Scatter Search to the p-Median Problem10.5 Application of Scatter Search to Feature Subset Selection; 10.6 Computational Experiments; 10.7 Conclusions; References; 11 Parallel Variable Neighborhood Search; 11.1 Introduction; 11.2 The VNS Metaheuristic; 11.3 The Parallelizations; 11.4 Application of VNS for the p-median; 11.5 Computational Experiments; 11.6 Conclusions; References; 12 Parallel Simulated Annealing; 12.1 Introduction; 12.2 Simulated Annealing; 12.3 Parallel Simulated Annealing; 12.4 A Case Study; 12.5 Summary; References; 13 Parallel Tabu Search 327 $a13.1 Introduction 330 $aSolving complex optimization problems with parallel metaheuristicsParallel Metaheuristics brings together an international group of experts in parallelism and metaheuristics to provide a much-needed synthesis of these two fields. Readers discover how metaheuristic techniques can provide useful and practical solutions for a wide range of problems and application domains, with an emphasis on the fields of telecommunications and bioinformatics. This volume fills a long-existing gap, allowing researchers and practitioners to develop efficient metaheuristic algorithms to find solutions. 410 0$aWiley series on parallel and distributed computing. 606 $aMathematical optimization 606 $aParallel algorithms 606 $aOperations research 615 0$aMathematical optimization. 615 0$aParallel algorithms. 615 0$aOperations research. 676 $a519.6 701 $aAlba$b Enrique$0853126 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020136803321 996 $aParallel metaheuristics$94417132 997 $aUNINA