Analog circuits and systems optimization based on evolutionary computation techniques

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Hauptverfasser: Barros, Manuel F. M. (VerfasserIn), Guilherme, Jorge M. C. (VerfasserIn), Horta, Nuno C. G. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Berlin [u.a.] Springer 2010
Schriftenreihe:Studies in computational intelligence 294
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Datensatz im Suchindex

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adam_text REFERENCES 44 CONTENTS 1 INTRODUCTION 1 1.1 MICROELECTRONICS MARKET AND TECHNOLOGY EVOLUTION 1 1.2 ANALOG INTEGRATED CIRCUIT DESIGN 3 1.2.1 ANALOG DESIGN ISSUES 3 1.2.2 THE HIERARCHICAL DECOMPOSITION MODEL 4 1.2.3 ANALOG IC DESIGN FLOW 5 1.2.4 ANALOG DESIGN FLOW OF A 15-BIT PIPELINE CMOS A/D CONVERTER 8 1.3 ANALOG DESIGN AUTOMATION 10 1.3.1 CAD TOOLS FOR ANALOG CIRCUIT DESIGN 10 1.3.2 AUTOMATED ANALOG IC DESIGN 11 REFERENCES 14 2 STATE-OF-THE-ART ON ANALOG DESIGN AUTOMATION 19 2.1 TRENDS IN DESIGN AUTOMATION METHODOLOGY 19 2.1.1 AUTOMATED TOPOLOGY SELECTION 20 2.1.2 AUTOMATED CIRCUIT SIZING/OPTIMIZATION 23 2.1.3 AUTOMATED LAYOUT GENERATION 23 2.2 AUTOMATED CIRCUIT SYNTHESIS APPROACHES 26 2.2.1 KNOWLEDGE-BASED APPROACH 26 2.2.2 OPTIMIZATION-BASED APPROACH 27 2.2.2.1 EQUATION-BASED METHODS 28 2.2.2.2 SIMULATION-BASED METHODS 29 2.2.2.3 LEARNING-BASED METHODS 30 2.2.3 COMMERCIAL TOOLS 31 2.3 DESIGN AUTOMATION TOOLS: COMPARATIVE ANALYSIS 31 2.3.1 SPECIFIC CHARACTERISTICS 36 2.3.2 PERFORMANCE ANALYSIS 37 2.3.3 OPTIMIZATION TECHNIQUES 38 2.3.4 OTHER CHARACTERISTICS 40 2.3.5 SUMMARY 40 2.4 GENOM OPTIMIZATION TOOL: IMPLEMENTATION GOALS 42 2.5 CONCLUSIONS 43 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1000569039 DIGITALISIERT DURCH X CONTENTS 3 EVOLUTIONARY ANALOG IC DESIGN OPTIMIZATION 49 3.1 COMPUTATION TECHNIQUES FOR ANALOG IC DESIGN - AN OVERVIEW 49 3.1.1 ANALOG IC DESIGN PROBLEM FORMULATION 49 3.1.2 NUMERIC PROGRAMMING TECHNIQUES 51 3.1.3 THE NO-FREE-LUNCH THEOREM 52 3.1.4 EVOLUTIONARY COMPUTATION TECHNIQUES OVERVIEW 54 3.2 KEY ISSUES IN EVOLUTIONARY SEARCH 57 3.3 GENOM - EVOLUTIONARY KERNEL FOR ANALOG IC DESIGN OPTIMIZATION .61 3.3.1 FITNESS FUNCTION STUDY 61 3.3.1.1 MULTI-OBJECTIVE COST FUNCTION 62 3.3.1.2 COST FUNCTION WITH NO PREFERENCE ARTICULATION 65 3.3.2 INDIVIDUAL ENCODING, POPULATION STRUCTURE AND SAMPLING 67 3.3.3 SELECTION STRATEGIES 71 3.3.3.1 RANKING-BASED SCHEME 71 3.3.3.2 CONSTRAINT-BASED SELECTION 72 3.3.4 CROSSOVER STRATEGIES 73 3.3.5 MUTATION STRATEGIES 74 3.3.6 STEP SIZE CONTROL - DYNAMIC EVOLUTIONARY CONTROL 76 3.3.7 A DISTRIBUTED ALGORITHM FOR TIME CONSUMING FITNESS FUNCTIONS 77 3.3.8 GENOM GA ATTRIBUTES 80 3.3.9 GENOM OPTIMIZATION METHODOLOGY 82 3.3.9.1 OPTIMIZATION SETUP 82 3.3.9.2 COARSE OPTIMIZATION 83 3.3.9.3 FINE-TUNING OPTIMIZATION 83 3.4 CONCLUSIONS 84 REFERENCES 84 4 ENHANCED TECHNIQUES FOR ANALOG CIRCUITS DESIGN USING SVM MODELS 89 4.1 LEARNING ALGORITHMS OVERVIEW 89 4.1.1 SVM CLASSIFICATION OVERVIEW 95 4.2 GA-SVM OPTIMIZATION APPROACH 96 4.2.1 FEASIBILITY REGION DEFINITION 96 4.2. CONTENTS XI 5 ANALOG IC DESIGN ENVIRONMENT ARCHITECTURE 109 5.1 AIDA ARCHITECTURE 109 5.1.1 AIDA IN-HOUSE DESIGN ENVIRONMENT OVERVIEW 109 5.1.2 LAYOUT LEVEL TOOLS 112 5.2 GENOM SYSTEM OVERVIEW 112 5.2.1 DESIGN FLOW 113 5.2.2 INPUT DATA 114 5.2.3 OUTPUT DATA 120 5.2.3.1 PROGRESS REAL-TIME REPORTS 121 5.2.3.2 INTERACTIVE DESIGN 122 5.2.4 I/O INTERFACES 123 5.2.5 EVALUATION ENGINE 125 5.2.6 EXPANSION OF GENOM TOOL 125 5.2.7 OPTIMIZATION KERNEL CONFIGURATION 127 5.3 DATA FLOW MANAGEMENT 128 5.3.1 INPUT DATA SPECIFICATION 129 5.3.2 EVALUATION/SIMULATION DATA HARDWARE 131 5.3.3 OUTPUT DATA 133 5.3.3.1 THE SIMULATION AND EQUATION BASED COST FUNCTION PARSER 134 5.4 CONCLUSIONS 136 REFERENCES 137 6 OPTIMIZATION OF ANALOG CIRCUITS AND SYSTEMS - APPLICATIONS 139 6.1 TESTING THE PERFORMANCE OF ANALOG CIRCUITS 139 6.2 TESTING THE GENOM - SELECTED CIRCUIT TOPOLOGIES 141 6.3 GENOM CONVERGENCE TESTS 144 6.3.1 THE ANALOG IC DESIGN APPROACH 145 6.3.2 TESTING THE SELECTION APPROACH 146 6.4 COMPARING GA-STD, GA-MOD AND GA-SVM PERFORMANCE 148 6.4.1 GA-STD VERSUS GA-SVM PERFORMANCE - FILTER CASE STUDY. 149 6.4.2 STATIC GA-SVM PERFORMANCE - OPAMP CASE STUDY 151 6.4.2.1 EVALUATION METRIC 153 6.4.3 TESTING THE DYNAMIC GA-SVM PERFORMANCE 154 6.4.4 FINAL COMMENTS 156 6. XII CONTENTS 6.5.2.4 DESIGN ANALYSIS 170 6.5.3 FOLDED CASCODE OPAMP WITH AB OUTPUT 172 6.5.3.1 DESCRIPTION 172 6.5.3.2 PROBLEM SPECIFICATIONS AND DESIGN CONFIGURATIONS . 173 6.5.3.3 DESIGN ANALYSIS 175 6.6 COMPARISON WITH OTHER TOOLS/APPROACHES 178 6.6.1 FRIDGE BENCHMARK CIRCUIT TESTS 179 6.6.2 OPTIMIZATION TEST WITH FRIDGE AMPOP 179 6.6.3 COMPARISON RESULTS 182 6.6.4 CORNERS OPTIMIZATION WITH FRIDGE CIRCUIT 183 6.7 CONCLUSIONS 185 REFERENCES 185 7 CONCLUSION 187 7.1 CONCLUSIONS 187 7.2 FUTURE WORK 188 APPENDIXES 191 APPENDIX A. TERMINOLOGY 191 APPENDIX B. GENERAL PURPOSE OPTIMIZATION TECHNIQUES 193 B.I RANDOM SEARCH METHODS 193 B.2 UNCONSTRAINED GRADIENT-BASED METHODS 193 B.3 CONSTRAINTS PROGRAMMING 194 B.4 DIRECT STOCHASTIC METHODS 195 B.5 MULTIPLE OBJECTIVES 197 APPENDIX C. THE BASIC DECISIONS OF STANDARD GA ALGORITHMS 199 C.I STANDARD GA KERNEL OPTIMIZATION 199 C.I.I EVOLUTIONARY KERNEL FRAMEWORK 199 C.1.2 ALGORITHM DESIGN PARAMETERS 200 C.1.3 SINGLE OPTIMIZATION GA EXAMPLE 202 C.2 REPRESENTATION AND ENCODING 205 C.3 FITNESS EVALUATION AND ASSIGNMENT 206 C.4 INITIAL POPULATION 207 C.5 SELECTION 208 C.6 CROSSOVER OPERATOR 209 C.7 MUTATION OPERATOR 211 C.8 PERFORMANCE CRITERIA 212 APPENDIX D. SUPPORT VECTOR MACHINE OVERVIEW 213 D. CONTENTS XIII D.3.2 BOOTSTRAP METHOD 218 D.3.3 CROSS-VALIDATION METHOD 218 D.4 SVM MODEL EVALUATION 219 D.4.1 KERNEL EVALUATION METRICS 219 D.4.2 MODEL SELECTION PARAMETERS 220 REFERENCES 222 INDEX 227
any_adam_object 1
author Barros, Manuel F. M.
Guilherme, Jorge M. C.
Horta, Nuno C. G.
author_facet Barros, Manuel F. M.
Guilherme, Jorge M. C.
Horta, Nuno C. G.
author_role aut
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author_sort Barros, Manuel F. M.
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n c g h ncg ncgh
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dewey-ones 621 - Applied physics
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dewey-tens 620 - Engineering and allied operations
discipline Maschinenbau / Maschinenwesen
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Elektrotechnik / Elektronik / Nachrichtentechnik
format Book
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spelling Barros, Manuel F. M. Verfasser aut
Analog circuits and systems optimization based on evolutionary computation techniques Manuel F. M. Barros ; Jorge M. C. Guilherme ; Nuno C. G. Horta
Berlin [u.a.] Springer 2010
XXIV, 230 S. graph. Darst.
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Studies in computational intelligence 294 (DE-604)BV020822171 294
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spellingShingle Barros, Manuel F. M.
Guilherme, Jorge M. C.
Horta, Nuno C. G.
Analog circuits and systems optimization based on evolutionary computation techniques
Studies in computational intelligence
Evolutionärer Algorithmus (DE-588)4366912-8 gnd
Entwurfsautomation (DE-588)4312536-0 gnd
Analogschaltung (DE-588)4122796-7 gnd
subject_GND (DE-588)4366912-8
(DE-588)4312536-0
(DE-588)4122796-7
title Analog circuits and systems optimization based on evolutionary computation techniques
title_auth Analog circuits and systems optimization based on evolutionary computation techniques
title_exact_search Analog circuits and systems optimization based on evolutionary computation techniques
title_full Analog circuits and systems optimization based on evolutionary computation techniques Manuel F. M. Barros ; Jorge M. C. Guilherme ; Nuno C. G. Horta
title_fullStr Analog circuits and systems optimization based on evolutionary computation techniques Manuel F. M. Barros ; Jorge M. C. Guilherme ; Nuno C. G. Horta
title_full_unstemmed Analog circuits and systems optimization based on evolutionary computation techniques Manuel F. M. Barros ; Jorge M. C. Guilherme ; Nuno C. G. Horta
title_short Analog circuits and systems optimization based on evolutionary computation techniques
title_sort analog circuits and systems optimization based on evolutionary computation techniques
topic Evolutionärer Algorithmus (DE-588)4366912-8 gnd
Entwurfsautomation (DE-588)4312536-0 gnd
Analogschaltung (DE-588)4122796-7 gnd
topic_facet Evolutionärer Algorithmus
Entwurfsautomation
Analogschaltung
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