Differential evolution in electromagnetics:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2010
|
| Series: | Adaptation, learning, and optimization
4 |
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | XVII, 212 S. Ill., graph. Darst. |
| ISBN: | 9783642128684 |
Staff View
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Record in the Search Index
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| adam_text |
CONTENTS A LITERATURE SURVEY ON DIFFERENTIAL EVOLUTION 1 1.1 MOTIVATIONS
1 1.1.1 ELIMINATING INCONSISTENCIES 1 1.1.2 CREDITING ORIGINAL
CONTRIBUTIONS 1 1.1.3 KNOWING THE STATE OF THE ART 1 1.1.4 GAINING
INSIGHT 2 1.2 PLATFORMS 2 1.2.1 STARTING POINT 2 1.2.2 DATABASES 3 1.2.3
INFORMAL ONLINE RESOURCES AND TOOLS 4 1.3 RESULT REFINING 5 1.3.1 BOOKS
5 1.3.2 BOOK CHAPTERS 6 1.3.3 OTHER FORMAL PUBLICATIONS 6 1.3.4 INFORMAL
NOTES 7 1.4 RESULT ANALYSIS 7 1.4.1 THEORY OF DIFFERENTIAL EVOLUTION 7
.4.2 FUNDAMENTALS OF DIFFERENTIAL EVOLUTION 8 .4.3 INTRINSIC CONTROL
PARAMETERS 9 .4.4 EVALUATION OF DIFFERENTIAL EVOLUTION 9 .4.5
APPLICATIONS OF DIFFERENTIAL EVOLUTION 9 1.4.6 HYBRIDIZATION 9 1.5
FUTURE ACTIONS 10 1.5.1 OPEN ACCESS 10 1.5.2 FUTURE UPDATE 10 1.6
MISCONCEPTIONS AND MISCONDUCTS ON DIFFERENTIAL EVOLUTION 10 REFERENCES.
.10 BASICS OF DIFFERENTIAL EVOLUTION 19 2.1 A SHORT HISTORY 19 2.1.1
INCEPTION 19 2.1.2 EARLY YEARS 20 2.1.2.1 ASSESSMENT 20 2.1.2.2
REPUTATION BUILDING 20 BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/1001251733 DIGITALISIERT DURCH XII CONTENTS 2.1.2.3
APPLICATIONS 20 2.1.2.4 PROMOTION 21 2.1.2.5 PRACTICAL ADVICE 21 2.1.2.6
STANDARDIZATION 22 2.1.2.7 MORE ADVENTURES 22 2.1.3 KEY MILESTONES IN
AND AFTER 1998 22 2.2 THE FOUNDATIONAL DIFFERENTIAL EVOLUTION STRATEGIES
23 2.2.1 NOTATIONS 23 2.2.2 STRATEGY FRAMEWORK 24 2.2.2.1 PSEUDO-CODE 24
2.2.2.2 INITIALIZATION 25 2.2.2.3 DIFFERENTIAL MUTATION 25 2.2.2.4
CROSSOVER 26 2.2.2.5 SELECTION 27 2.2.2.6 TERMINATION CONDITIONS 27
2.2.3 INTRINSIC CONTROL PARAMETERS 27 2.3 CLASSIC DIFFERENTIAL EVOLUTION
28 2.3.1 INITIALIZATION 28 2.3.2 DIFFERENTIAL MUTATION 28 2.3.2.1
CURRENT 29 2.3.2.2 BEST 29 2.3.2.3 BETTER 29 2.3.2.4 RANDOM 29 2.3.2.5
MEAN 29 2.3.2.6 BEST OF RANDOM 29 2.3.2.7 ARITHMETIC BEST 29 2.3.2.8
ARITHMETIC BETTER 29 2.3.2.9 ARITHMETIC RANDOM 29 2.3.2.10 TRIGONOMETRIC
30 2.3.2.11 DIRECTED 30 2.3.3 CROSSOVER 30 2.3.3.1 BINARY CROSSOVER 31
2.3.3.2 ONE-POINT CROSSOVER 32 2.3.3.3 MULTI-POINT CROSSOVER 32 2.3.3.4
ARITHMETIC CROSSOVER 32 2.3.3.5 ARITHMETIC ONE-POINT CROSSOVER 33
2.3.3.6 ARITHMETIC MULTI-POINT CROSSOVER 33 2.3.3.7 ARITHMETIC BINOMIAL
CROSSOVER 34 2.3.3.8 ARITHMETIC EXPONENTIAL CROSSOVER 35 2.4 DYNAMIC
DIFFERENTIAL EVOLUTION 36 2.5 STATE OF THE ART OF DIFFERENTIAL EVOLUTION
36 2. CONTENTS XIII 2.6.1.3 SIMPLICITY 37 2.6.1.4 ROBUSTNESS 38 2.6.2
DISADVANTAGES 38 2.6.2.1 EFFICIENCY 38 2.6.2.2 INCAPABILITY FOR
EPISTATIC AND NOISY PROBLEMS 38 REFERENCES 38 3 A RETROSPECTIVE OF
DIFFERENTIAL EVOLUTION IN ELECTROMAGNETICS 43 3.1 INTRODUCTION 43 3.1.1
COVERAGE 43 3.1.2 PIONEERING WORKS 44 3.1.3 AN OVERVIEW OF APPLICATIONS
OF DIFFERENTIAL EVOLUTION IN ELECTROMAGNETICS 44 3.1.3.1 YEARLY OUTPUT
44 3.1.3.2 OUTPUT BY SUBJECT 44 3.2 ELECTROMAGNETIC INVERSE PROBLEMS 45
3.2.1 A BIRD'S EYE VIEW 45 3.2.2 FURTHER CLASSIFICATION 45 3.2.2.1
ONE-DIMENSIONAL ELECTROMAGNETIC INVERSE PROBLEMS 46 3.2.2.2
TWO-DIMENSIONAL ELECTROMAGNETIC INVERSE PROBLEMS 46 3.2.2.3
THREE-DIMENSIONAL ELECTROMAGNETIC INVERSE PROBLEMS 47 3.3 ANTENNA ARRAYS
48 3.3.1 CONVENTIONAL ANTENNA ARRAYS 48 3.3.1.1 IDEAL ANTENNA ARRAYS 48
3.3.1.2 PRACTICAL ANTENNA ARRAYS 48 3.3.1.3 PHASED ARRAYS 49 3.3.2
TIME-MODULATED ANTENNA ARRAYS 49 3.3.2.1 IDEAL ANTENNA ARRAYS WITH TIME
MODULATION 49 3.3.2.2 PRACTICAL ANTENNA ARRAYS WITH TIME MODULATION 49
3.3.2.3 PHASED ANTENNA ARRAYS WITH TIME MODULATION 50 3.3.3 MOVING PHASE
CENTER ANTENNA ARRAYS 50 3.4 MICROWAVE AND RF ENGINEERING 50 3.4.1
DESIGN OF MICROWAVE AND RF DEVICES 50 3.4.1.1 DESIGNING MICROWAVE AND RF
DEVICES USING DIFFERENTIAL EVOLUTION 51 3.4.1. XIV CONTENTS 3.5.1.1
DESIGNING ANTENNAS USING DIFFERENTIAL EVOLUTION 52 3.5.1.2 EXTRACTING
EMPIRICAL FORMULAS FOR SYNTHESIZING ANTENNAS 52 3.5.2 MEASUREMENT OF
ANTENNAS 53 3.6 ELECTROMAGNETIC STRUCTURES 53 3.6.1 PLAIN
ELECTROMAGNETIC STRUCTURES 54 3.6.2 FREQUENCY SELECTIVE SURFACES 55 3.7
ELECTROMAGNETIC COMPOSITE MATERIALS 56 3.7.1 MODELING OF ELECTROMAGNETIC
COMPOSITE MATERIALS 56 3.7.2 RETRIEVAL OF EFFECTIVE PERMITTIVITY TENSOR
56 3.8 FREQUENCY PLANNING 57 3.9 RADIO NETWORK DESIGN 58 3.10 MIMO 58
3.11 RADAR 59 3.12 COMPUTATIONAL ELECTROMAGNETICS 59 3.13
ELECTROMAGNETIC COMPATIBILITY 60 3.14 MISCELLANEOUS APPLICATIONS 60 3.15
AN OUTLOOK TO FUTURE APPLICATIONS OF DIFFERENTIA EVOLUTION IN
ELECTROMAGNETICS 60 REFERENCES 61 4 APPLICATION OF DIFFERENTIAL
EVOLUTION TO A TWO-DIMENSIONAL INVERSE SCATTERING PROBLEM 73 4.1
INTRODUCTION 73 4.2 GENERAL DESCRIPTION OF THE PROBLEM 74 4.2.1
EXPERIMENTAL SETUP 74 4.2.2 THE OPTIMIZATION PROBLEM 76 4.3 MATHEMATICAL
NATURE OF THE OPTIMIZATION PROBLEM AND DIFFERENTIAL EVOLUTION 76 4.4
INITIAL GUESS 77 4.4.1 FOLDY-LAX MODEL OF SCATTERING 78 4.4.2 MULTIPLE
SIGNAL CLASSIFICATION FOR ESTIMATING THE SCATTERER SUPPORT 79 4.4.3
LEAST SQUARE BASED METHOD FOR GENERATING INITIAL GUESS FOR THE RELATIVE
PERMITTIVITY 80 4.5 NUMERICAL RESULTS 81 4.5. CONTENTS XV 4.6
CONCLUSIONS 101 REFERENCES 102 5 THE USE OF DIFFERENTIAL EVOLUTION FOR
THE SOLUTION OF ELECTROMAGNETIC INVERSE SCATTERING PROBLEMS 107 5.1
INTRODUCTION 107 5.2 PROBLEM FORMULATION 108 5.2.1 THE INVERSE
SCATTERING FORMULATION 108 5.2.2 DISCRETE SETTING 109 5.2.3 THE INVERSE
SCATTERING PROBLEM AS AN OPTIMIZATION PROBLEM 110 5.3 THE ITERATIVE
MULTISCALING APPROACH 110 5.4 NUMERICAL RESULTS 112 5.4.1 OFF-CENTERED
DIELECTRIC CYLINDER 112 5.4.2 OFF-CENTERED DIELECTRIC HOLLOW CYLINDER
117 5.4.3 CENTERED STRATIFIED DIELECTRIC SQUARE CYLINDER 121 5.4.4
CENTERED E-SHAPE DIELECTRIC CYLINDER 126 5.5 CONCLUSIONS 129 REFERENCES
129 6 MODELING OF ELECTRICALLY LARGE EQUIPMENT WITH DISTRIBUTED DIPOLES
USING METAHEURISTIC METHODS 133 6.1 INTRODUCTION 133 6.1.1 NEAR-FIELD TO
FAR-FIELD TRANSFORMATION 133 6.1.2 RADIATING EQUIPMENT MODELING WITH
PREFIXED POSITION DIPOLES 134 6.1.3 PRESENT WORK 135 6.2 ELECTROMAGNETIC
MODELING OF A RADIATING EQUIPMENT WITH DISTRIBUTED INFINITESIMAL DIPOLES
135 6.2.1 INTEGRAL EQUATIONS FOR THE RADIATION OF ELECTRONIC EQUIPMENT
136 6.2.2 POINT-MATCHING METHOD WITH DIRAC DELTA BASIS FUNCTIONS 137
6.2.3 GROUND PLANE IN SEMI-ANECHOIC CHAMBERS 137 6.3 PROPOSED METHOD FOR
NEAR-FIELD TO FAR-FIELD TRANSFORMATION 138 6.3.1 DESCRIPTION OF THE
METHOD 138 6.3. XVI CONTENTS 6.5.1.2 NEAR-FIELD MEASUREMENT SYSTEM 145
6.5.1.3 FAR-FIELD MEASUREMENT SYSTEM 147 6.5.2 NEAR-FIELD RESULTS 147
6.5.3 FAR-FIELD PREDICTION V 149 6.6 CONCLUSIONS 150 REFERENCES 151 7
APPLICATION OF DIFFERENTIAL EVOLUTION TO A MULTI-OBJECTIVE REAL-WORLD
FREQUENCY ASSIGNMENT PROBLEM 155 7.1 INTRODUCTION 155 7.2
MULTI-OBJECTIVE FAP IN A GSM NETWORK 156 7.2.1 GSM COMPONENTS AND
FREQUENCY PLANNING 156 7.2.2 INTERFERENCE COST 157 7.2.3 SEPARATION COST
158 7.3 MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION WITH PARETO TOURNAMENTS
159 7.3.1 ALGORITHM STRUCTURE 159 7.3.2 PARETO TOURNAMENT 159 7.3.3
PROBLEM DOMAIN KNOWLEDGE 160 7.4 MULTI-OBJECTIVE VARIABLE NEIGHBORHOOD
SEARCH 160 7.4.1 VARIABLE NEIGHBORHOOD SEARCH 160 7.4.2 MULTI-OBJECTIVE
VARIABLE NEIGHBORHOOD SEARCH 161 7.4.3 GREEDY MUTATION 162 7.4.4
MULTI-OBJECTIVE SKEWED VARIABLE NEIGHBORHOOD SEARCH 162 7.5 EXPERIMENTS
AND RESULTS 163 7.5.1 EXPERIMENTAL SETUP 163 7.5.1.1 USED GSM INSTANCES
163 7.5.1.2 ENCODING 165 7.5.1.3 COMPUTATIONAL FACILITIES 165 7.5.1.4
TERMINATION CONDITIONS AND PROCESS MONITORING 165 7.5.1.5 CONFIDENCE
BUILDING 165 7.5.2 METHODOLOGY AND METRICS 166 7.5.2.1 HYPERVOLUME 166
7.5.2.2 COVERAGE RELATION 166 7.5.3 TUNING OF THE DEPT PARAMETERS 166
7.5.3.1 POPULATION SIZE 167 7.5.3. CONTENTS XVII 8.2.1 RECEIVED SIGNAL
MODEL 178 8.2.2 OPTIMIZATION PROBLEM 179 8.3 HYBRID PSO-ES-DEPSO
TRAINING ALGORITHM 179 8.4 MIMO CHANNEL/BEAM-FORMING MODELS 180 8.4.1
CHANNEL MODEL 180 8.4.2 CHANNEL ESTIMATION MODEL 182 8.4.3 MIMO
BEAM-FORMING 182 8.5 RECURRENT NEURAL NETWORK FOR CHANNEL PREDICTION 184
8.6 TRAINING PROCEDURE 185 8.7 NUMERICAL RESULTS 187 8.7.1 ALGORITHM
COMPARISON 187 8.7.2 ROBUSTNESS OF PSO-ES-DEPSO ALGORITHM 188 8.7.3
LINEAR AND NONLINEAR PREDICTORS WITH PSO-EA-DEPSO ALGORITHM 191 8.7.4
NON-CONVEXITY OF THE SOLUTION SPACE 192 8.8 PERFORMANCE MEASURES OF RNN
PREDICTORS 193 8.9 CONCLUSIONS 203 REFERENCES 204 INDEX 207 |
| any_adam_object | 1 |
| author | Qing, Anyong Li, Jing-kwang |
| author_GND | (DE-588)138962480 (DE-588)141702133 |
| author_facet | Qing, Anyong Li, Jing-kwang |
| author_role | aut aut |
| author_sort | Qing, Anyong |
| author_variant | a q aq j k l jkl |
| building | Verbundindex |
| bvnumber | BV036623426 |
| classification_rvk | ZN 3240 |
| ctrlnum | (OCoLC)699773064 (DE-599)DNB1001251733 |
| dewey-full | 621.3 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3 |
| dewey-search | 621.3 |
| dewey-sort | 3621.3 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Maschinenbau / Maschinenwesen Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| series | Adaptation, learning, and optimization |
| series2 | Adaptation, learning, and optimization |
| spelling | Qing, Anyong Verfasser (DE-588)138962480 aut Differential evolution in electromagnetics Anyong Qing and Ching Kwang Lee Berlin [u.a.] Springer 2010 XVII, 212 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Adaptation, learning, and optimization 4 Elektromagnetisches Feld (DE-588)4014305-3 gnd rswk-swf Optimierung (DE-588)4043664-0 gnd rswk-swf Elektromagnetische Streuung (DE-588)4194512-8 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Elektromagnetisches Feld (DE-588)4014305-3 s Elektromagnetische Streuung (DE-588)4194512-8 s Optimierung (DE-588)4043664-0 s Evolutionärer Algorithmus (DE-588)4366912-8 s DE-604 Li, Jing-kwang Verfasser (DE-588)141702133 aut Adaptation, learning, and optimization 4 (DE-604)BV036521115 4 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3449982&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020543408&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Qing, Anyong Li, Jing-kwang Differential evolution in electromagnetics Adaptation, learning, and optimization Elektromagnetisches Feld (DE-588)4014305-3 gnd Optimierung (DE-588)4043664-0 gnd Elektromagnetische Streuung (DE-588)4194512-8 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| subject_GND | (DE-588)4014305-3 (DE-588)4043664-0 (DE-588)4194512-8 (DE-588)4366912-8 |
| title | Differential evolution in electromagnetics |
| title_auth | Differential evolution in electromagnetics |
| title_exact_search | Differential evolution in electromagnetics |
| title_full | Differential evolution in electromagnetics Anyong Qing and Ching Kwang Lee |
| title_fullStr | Differential evolution in electromagnetics Anyong Qing and Ching Kwang Lee |
| title_full_unstemmed | Differential evolution in electromagnetics Anyong Qing and Ching Kwang Lee |
| title_short | Differential evolution in electromagnetics |
| title_sort | differential evolution in electromagnetics |
| topic | Elektromagnetisches Feld (DE-588)4014305-3 gnd Optimierung (DE-588)4043664-0 gnd Elektromagnetische Streuung (DE-588)4194512-8 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| topic_facet | Elektromagnetisches Feld Optimierung Elektromagnetische Streuung Evolutionärer Algorithmus |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3449982&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020543408&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV036521115 |
| work_keys_str_mv | AT qinganyong differentialevolutioninelectromagnetics AT lijingkwang differentialevolutioninelectromagnetics |