Optimizing real-world problems with differential evolution and particle swarm optimization:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Aachen
Shaker
2009
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| Schriftenreihe: | Berichte aus der Elektrotechnik
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 229 S. Ill., graph. Darst. |
| ISBN: | 9783832280895 |
Internformat
MARC
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| 245 | 1 | 0 | |a Optimizing real-world problems with differential evolution and particle swarm optimization |c Karin Zielinski |
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| 300 | |a XII, 229 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
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|---|---|
| adam_text | CONTENTS 1 INTRODUCTION 1 1.1 MOTIVATION AND CONTRIBUTIONS 2 1.2
ORGANIZATION 4 2 BASIC PRINCIPLES OF OPTIMIZATION 7 2.1 THE GENERAL
OPTIMIZATION PROBLEM 7 2.2 OPTIMIZATION ALGORITHMS 10 2.3 TERMINOLOGY
AND CONCEPTS 12 3 EVOLUTIONARY ALGORITHMS 17 3.1 GENETIC ALGORITHM 18
3.2 EVOLUTION STRATEGY 20 3.3 EVOLUTIONARY PROGRAMMING 20 3.4 GENETIC
PROGRAMMING 21 3.5 DIFFERENTIAL EVOLUTION 22 3.5.1 GENERAL PROCEDURE 22
3.5.2 VARIANTS OF DIFFERENTIAL EVOLUTION 26 3.5.3 CONTROL PARAMETERS 29
3.5.4 COMPARISON WITH OTHER EVOLUTIONARY ALGORITHMS 29 3.6 PARTICLE
SWARM OPTIMIZATION 30 3.6.1 GENERAL PROCEDURE 31 3.6.2 NEIGHBORHOOD
TOPOLOGIES 34 3.6.3 CONTROL PARAMETERS 36 3.6.4 COMPARISON WITH OTHER
EVOLUTIONARY ALGORITHMS 38 4 CONSTRAINED OPTIMIZATION 41 4.1 BOUNDARY
CONSTRAINTS 41 4.1.1 METHODS FOR THE HANDLING OF BOUNDARY CONSTRAINTS 42
4.2 CONSTRAINT FUNCTIONS 44 4.2.1 CONSTRAINT-HANDLING METHODS 45 4.2.2
DIFFERENTIAL EVOLUTION FOR CONSTRAINED OPTIMIZATION 47 4.2.3 PARTICLE
SWARM OPTIMIZATION FOR CONSTRAINED OPTIMIZATION 49 4.2.4 APPLICATION:
POWER ALLOCATION PROBLEM 51 4.2.4.1 BACKGROUND 51 4.2.4.2 SOLUTIONS FOR
PARALLEL INTERFERENCE CANCELLATION AND SUC- CESSIVE INTERFERENCE
CANCELLATION 56 I BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/993509398 DIGITALISIERT DURCH CONTENTS 4.2.4.3
COMPARISON OF THE DEATH PENALTY AND THE MODIFIED RE- PLACEMENT METHOD 59
4.3 EQUALITY CONSTRAINTS 65 4.3.1 RELATED LITERATURE 65 4.3.2
APPLICATION: WORST CASE METHODS FOR YIELD ANALYSIS 67 4.3.2.1 BACKGROUND
67 4.3.2.2 TEST CASE 69 4.4 COMPARISON OF DIFFERENTIAL EVOLUTION AND
PARTICLE SWARM OPTIMIZATION WITH BLIND RANDOM SEARCH AND BRUETE FORCE
SEARCH 72 4.5 SUMMARY AND FUTURE WORK 77 MULTI-OBJECTIVE OPTIMIZATION 79
5.1 PERFORMANCE MEASURES 82 5.1.1 METRICS EVALUATING CLOSENESS TO THE
PARETO-OPTIMAL FRONT 82 5.1.2 METRICS EVALUATING DIVERSITY AMONG
NON-DOMINATED SOLUTIONS ... 83 5.1.3 METRICS EVALUATING CLOSENESS AND
DIVERSITY 84 5.2 NON-DOMINATED SORTING GENETIC ALGORITHM 11 85 5.3
MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION 87 5.3.1 ADAPTATION OF CONCEPTS
FROM NSGA-II FOR MULTI-OBJECTIVE DIFFER- ENTIAL EVOLUTION 88 5.3.2
RELATED LITERATURE 90 5.3.3 ANALYSIS OF CONVERGENCE BEHAVIOR AND
DIVERSITY FOR DIFFERENT VARI- ANTS OF MULTI-OBJECTIVE DIFFERENTIAL
EVOLUTION 92 5.4 MULTI-OBJECTIVE PARTICLE SWARM OPTIMIZATION 94 5.4.1
RELATED LITERATURE 95 5.5 APPLICATION: OPERATIONAL AMPLIFIER 97 5.6
SUMMARY AND FUTURE WORK 103 STOPPING CRITERIA 105 6.1 SINGLE-OBJECTIVE
OPTIMIZATION 108 6.1.1 CLASSIFICATION 108 6.1.1.1 REFERENCE CRITERIA 109
6.1.1.2 CRITERIA BASED ON LIMITED RESOURCES 109 6.1.1. III CONTENTS
6.2.3.4 MOVEMENT-HASERI CRITERIA 132 6.2.3.5 DISTRIBUTION-BASED CRITERIA
132 6.2.3.C COMBINED CRITERIA 134 6.2.4 ASSESSMENT OF PERFORMANCE 134
6.2.4.1 EXPERIMENTAL SETTINGS 134 6.2.4.2 RESULTS 135 6.3 SUMMARY AND
FUTURE WORK 139 7 ADAPTIVE STRATEGIES FOR SETTING CONTROL PARAMETERS 141
7.1 RELATED LITERATURE 143 7.1.1 ADAPTIVE DIFFERENTIAL EVOLUTION IN THE
LITERATURE 143 7.1.2 ADAPTIVE PARTICLE SWARM OPTIMIZATION IN THE
LITERATURE 146 7.2 DESIGN OF EXPERIMENTS FOR ADAPTIVE PARAMETER CONTROL
147 7.2.1 ADAPTIVE DIFFERENTIAL EVOLUTION BASED ON DESIGN OF EXPERIMENTS
. . 150 7.2.2 ADAPTIVE PARTICLE SWARM OPTIMIZATION BASED ON DESIGN OF
EXPERI- MENTS 152 7.3 EVALUATION OF ADAPTIVE VARIANTS FOR DIFFERENTIAL
EVOLUTION 153 7.4 SUMMARY AND FUTURE WORK 157 8 SUMMARY AND FUTURE WORK
159 8.1 SUMMARY 159 8.2 FUTURE WORK 161 A TEST PROBLEMS FOR
MULTI-OBJECTIVE OPTIMIZATION 163 B RESULTS FOR DIFFERENT VARIANTS OF
MULTI-OBJECTIVE DIFFERENTIAL EVOLUTION 167 C RESULTS OF STOPPING
CRITERIA FOR MULTI-OBJECTIVE OPTIMIZATION 175 C.L RESULTS FOR
DIFFERENTIAL EVOLUTION 176 C.2 RESULTS FOR PARTICLE SWARM OPTIMIZATION
193 REFERENCES 211
|
| any_adam_object | 1 |
| author | Zielinski, Karin |
| author_facet | Zielinski, Karin |
| author_role | aut |
| author_sort | Zielinski, Karin |
| author_variant | k z kz |
| building | Verbundindex |
| bvnumber | BV035649213 |
| classification_rvk | ZN 3070 |
| ctrlnum | (OCoLC)391446675 (DE-599)DNB993509398 |
| dewey-full | 519.7 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.7 |
| dewey-search | 519.7 |
| dewey-sort | 3519.7 |
| dewey-tens | 510 - Mathematics |
| discipline | Maschinenbau / Maschinenwesen Mathematik Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Thesis Book |
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| id | DE-604.BV035649213 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T21:42:26Z |
| institution | BVB |
| isbn | 9783832280895 |
| language | English |
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| physical | XII, 229 S. Ill., graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Shaker |
| record_format | marc |
| series2 | Berichte aus der Elektrotechnik |
| spelling | Zielinski, Karin Verfasser aut Optimizing real-world problems with differential evolution and particle swarm optimization Karin Zielinski Aachen Shaker 2009 XII, 229 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Berichte aus der Elektrotechnik Zugl.: Bremen, Univ., Diss., 2009 Mehrkriterielle Optimierung (DE-588)4610682-0 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Schwarmintelligenz (DE-588)4793676-9 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Mehrkriterielle Optimierung (DE-588)4610682-0 s Evolutionärer Algorithmus (DE-588)4366912-8 s Schwarmintelligenz (DE-588)4793676-9 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017703842&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zielinski, Karin Optimizing real-world problems with differential evolution and particle swarm optimization Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Schwarmintelligenz (DE-588)4793676-9 gnd |
| subject_GND | (DE-588)4610682-0 (DE-588)4366912-8 (DE-588)4793676-9 (DE-588)4113937-9 |
| title | Optimizing real-world problems with differential evolution and particle swarm optimization |
| title_auth | Optimizing real-world problems with differential evolution and particle swarm optimization |
| title_exact_search | Optimizing real-world problems with differential evolution and particle swarm optimization |
| title_full | Optimizing real-world problems with differential evolution and particle swarm optimization Karin Zielinski |
| title_fullStr | Optimizing real-world problems with differential evolution and particle swarm optimization Karin Zielinski |
| title_full_unstemmed | Optimizing real-world problems with differential evolution and particle swarm optimization Karin Zielinski |
| title_short | Optimizing real-world problems with differential evolution and particle swarm optimization |
| title_sort | optimizing real world problems with differential evolution and particle swarm optimization |
| topic | Mehrkriterielle Optimierung (DE-588)4610682-0 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Schwarmintelligenz (DE-588)4793676-9 gnd |
| topic_facet | Mehrkriterielle Optimierung Evolutionärer Algorithmus Schwarmintelligenz Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017703842&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT zielinskikarin optimizingrealworldproblemswithdifferentialevolutionandparticleswarmoptimization |