Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization
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| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin
Springer Berlin
2009
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| Ausgabe: | 1. Aufl. |
| Schriftenreihe: | Evolutionary Learning and Optimization
1 |
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-92 DE-898 Volltext Inhaltsverzeichnis |
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| 245 | 1 | 0 | |a Adaptive Differential Evolution |b A Robust Approach to Multimodal Problem Optimization |c Jingqiao Zhang ; Arthur C. Sanderson |
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Datensatz im Suchindex
| _version_ | 1819703731076202496 |
|---|---|
| adam_text | CONTENTS 1 INTRODUCTION 1 1.1 RESEARCH MOTIVATION 2 1.2 RESEARCH
CONTRIBUTION 3 2 RELATED WORK AND BACKGROUND 5 2.1 EVOLUTIONARY
ALGORITHMS 5 2.1.1 EVOLUTION STRATEGIES 6 2.1.2 EVOLUTIONARY PROGRAMMING
7 2.1.3 GENETIC ALGORITHMS 7 2.1.4 GENETIC PROGRAMMING 7 2.2
DIFFERENTIAL EVOLUTION 8 2.3 PARAMETER CONTROL 9 2.4 MULTI-OBJECTIVE
OPTIMIZATION 11 2.5 NO FREE LUNCH THEOREM AND DOMAIN KNOWLEDGE
UTILIZATION 12 3 THEORETICAL ANALYSIS OF DIFFERENTIAL EVOLUTION 15 3.1
INTRODUCTION 15 3.2 PROPERTIES OF DIFFERENTIAL EVOLUTION 17 3.2.1
DE/RAND/K/BIN WITHOUT CROSSOVER 17 3.2.2 PROPERTIES OF MUTATION 17 3.2.3
PROPERTIES OF SELECTION 18 3.3 AN APPROXIMATE MODEL OF DE 19 3.4
ANALYSES OF THE EVOLUTION PROCESS OF DE 21 3.4.1 MATHEMATICAL
FORMULATION OF DE 21 3.4.2 CALCULATION OF E(Z) 22 3.4.3 CALCULATION OF A
Z 26 3.4.4 CALCULATION OF A Z2 27 3.4.5 FROM {Z,. S } TO {X,. 9+1 } 29
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/993961770 DIGITALISIERT
DURCH X CONTENTS 3.5 NUMERICAL EVALUATION AND DISCUSSIONS 30 3.5.1
PERFORMANCE METRICS 30 3.5.2 PROGRESS RATE 31 3.5.3 EVOLUTION OF V* XL
AND A% 2 31 3.5.4 STEADY POINT 33 3.5.5 DYNAMIC BEHAVIOR OF DE 33 3.5.6
EFFECT OF MUTATION FACTOR 34 3.6 SUMMARY 36 3.7 APPENDIX 37 3.7.1 PROOF
OF PROPERTY 3.3 37 3.7.2 PROOF OF EQS. 3.16 AND 3.34 38 4 PARAMETER
ADAPTIVE DIFFERENTIAL EVOLUTION 39 4.1 INTRODUCTION 39 4.2 ADAPTIVE DE
ALGORITHMS 41 4.2.1 DESAP 41 4.2.2 FADE 41 4.2.3 SADE 42 4.2.4 SANSDE 43
4.2.5 JDE 43 4.2.6 ALGORITHMS COMPARISON 44 4.3 JADE: A NEW ADAPTIVE
DIFFERENTIAL EVOLUTION ALGORITHM... 46 4.3.1 INITIALIZATION 46 4.3.2
MUTATION 46 4.3.3 CROSSOVER 48 4.3.4 SELECTION 48 4.3.5 ADAPTATION OF
HCR 49 4.3.6 ADAPTATION OF HF 50 4.3.7 EXPLANATION OF PARAMETER
ADAPTATION 51 4.3.8 DISCUSSION OF PARAMETER SETTINGS 52 4.3.9 ALGORITHM
COMPLEXITY 52 4.4 PERFORMANCE ANALYSIS FOR LOW- TO MODERATE-DIMENSIONAL
PROBLEMS 52 4.4.1 COMPARISON OF JADE WITH OTHER EVOLUTIONARY ALGORITHMS
54 4.4.2 BENEFIT OF JADE S COMPONENTS 62 4.4.3 EVOLUTION OF SSP CONTENTS
XI 4.8 APPENDIX: STOCHASTIC PROPERTIES OF THE MUTATION AND CROSSOVER OF
JADE 77 4.8.1 A SIMPLIFIED MODEL 77 4.8.2 MATHEMATICAL ANALYSIS 78 4.8.3
PROOF OF PROPOSITION 4.1 79 5 SURROGATE MODEL-BASED DIFFERENTIAL
EVOLUTION 83 5.1 INTRODUCTION 83 5.2 ADAPTIVE DIFFERENTIAL EVOLUTION 84
5.3 RBF SURROGATE MODEL 85 5.4 DE-AEC: DIFFERENTIAL EVOLUTION WITH
ADAPTIVE EVOLUTION CONTROL 86 5.4.1 PROCEDURE OF DE-AEC 86 5.4.2
EXPLANATION OF Q, S AND K 88 5.5 PERFORMANCE EVALUATION 89 5.5.1 SUCCESS
RATE AND SUCCESS PERFORMANCE 89 5.5.2 SIMULATION RESULTS 89 5.6 SUMMARY
92 6 ADAPTIVE MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION 95 6.1 INTRODUCTION
95 6.2 MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS 97 6.2.1 PAES 97 6.2.2
SPEA2 97 6.2.3 PESA 98 6.2.4 NSGA AND NSGA-II 98 6.2.5 DIFFERENTIAL
EVOLUTION BASED MOEAS 98 6.3 JADE FOR MULTI-OBJECTIVE OPTIMIZATION 100
6.3.1 PARETO DOMINANCE AND CROWDING DENSITY 100 6.3.2 SELECTION 100
6.3.3 MUTATION 102 6.4 PERFORMANCE COMPARISON 103 6.4.1 COMPARISON BASED
ON CONVENTIONAL PERFORMANCE METRICS 104 6.4.2 PARETO-COMPLIANT
PERFORMANCE METRICS 105 6.4.3 EXPERIMENTAL RESULTS 110 6.5 SUMMARY 113 7
APPLICATION TO WINNER DETERMINATION PROBLEMS IN COMBINATORIA XII
CONTENTS 7.3.1 REPRESENTATION SCHEME FOR DISCRETE OPTIMIZATION.... 118
7.3.2 REGENERATION OPERATION 119 7.3.3 SEEDING JADE 121 7.4 PERFORMANCE
COMPARISON 121 7.4.1 EXPERIMENTAL SETTING 122 7.4.2 COMPARISON RESULTS
122 7.5 SUMMARY 125 8 APPLICATION TO FLIGHT PLANNING IN AIR TRAFFIC
CONTROL SYSTEMS 127 8.1 INTRODUCTION 127 8.2 PROBLEM FORMULATION 128 8.3
UTILIZATION OF DOMAIN KNOWLEDGE 130 8.4 SIMULATION 131 8.5 SUMMARY 134 9
APPLICATION TO THE TPM OPTIMIZATION IN CREDIT DECISION MAKING 135 9.1
INTRODUCTION 135 9.2 PROBLEM FORMULATION 137 9.3 UTILIZATION OF DOMAIN
KNOWLEDGE 139 9.4 SIMULATION 140 9.4.1 PERFORMANCE COMPARISON 141 9.4.2
COMPARISON OF OPTIMIZED TPM WITH EMPIRICAL DATA 144 9.5 SUMMARY 145 10
CONCLUSIONS AND FUTURE WORK 147 10.1 SUMMARY 147 10.2 FUTURE WORK 148
10.2.1 COEVOLUTIONARY ALGORITHMS 149 10.2.2 CONSTRAINED OPTIMIZATION 149
10.2.3 OPTIMIZATION IN A NOISY ENVIRONMENT 150 REFERENCES 151 INDEX 163
|
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| discipline | Maschinenbau / Maschinenwesen Informatik Mathematik |
| doi_str_mv | 10.1007/978-3-642-01527-4 |
| edition | 1. Aufl. |
| format | Electronic eBook |
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| id | DE-604.BV035704611 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-23T22:11:08Z |
| institution | BVB |
| isbn | 9783642015274 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017758480 |
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| owner_facet | DE-898 DE-BY-UBR DE-634 DE-92 DE-83 |
| physical | 1 Online-Ressource (165 S.) |
| psigel | ZDB-2-ENG |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer Berlin |
| record_format | marc |
| series | Evolutionary Learning and Optimization |
| series2 | Evolutionary Learning and Optimization |
| spellingShingle | Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization Evolutionary Learning and Optimization Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Globale Optimierung (DE-588)4140067-7 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| subject_GND | (DE-588)4610682-0 (DE-588)4140067-7 (DE-588)4366912-8 |
| title | Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization |
| title_auth | Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization |
| title_exact_search | Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization |
| title_full | Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization Jingqiao Zhang ; Arthur C. Sanderson |
| title_fullStr | Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization Jingqiao Zhang ; Arthur C. Sanderson |
| title_full_unstemmed | Adaptive Differential Evolution A Robust Approach to Multimodal Problem Optimization Jingqiao Zhang ; Arthur C. Sanderson |
| title_short | Adaptive Differential Evolution |
| title_sort | adaptive differential evolution a robust approach to multimodal problem optimization |
| title_sub | A Robust Approach to Multimodal Problem Optimization |
| topic | Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Globale Optimierung (DE-588)4140067-7 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| topic_facet | Mehrkriterielle Optimierung Globale Optimierung Evolutionärer Algorithmus |
| url | https://doi.org/10.1007/978-3-642-01527-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017758480&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV035704604 |
| work_keys_str_mv | AT zhangjingqiao adaptivedifferentialevolutionarobustapproachtomultimodalproblemoptimization AT sandersonarthurc adaptivedifferentialevolutionarobustapproachtomultimodalproblemoptimization |