Evolutionary optimization algorithms:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2022
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| Ausgabe: | First edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xii, 261 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 0367750546 9780367750541 9781032073378 |
Internformat
MARC
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| 245 | 1 | 0 | |a Evolutionary optimization algorithms |c Altaf Q.H. Badar |
| 250 | |a First edition | ||
| 264 | 1 | |a Boca Raton ; London ; New York |b CRC Press |c 2022 | |
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| 650 | 0 | 7 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Genetic algorithms | |
| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a Artificial intelligence | |
| 653 | 0 | |a Genetic algorithms | |
| 689 | 0 | 0 | |a Evolutionärer Algorithmus |0 (DE-588)4366912-8 |D s |
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Datensatz im Suchindex
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|---|---|
| adam_text | Contents Preface............................................................................................................................. xi Chapter 1 Introduction............................................................................................1 1.1 1.2 1.3 Introduction..................................................................................1 Terminology.................................................................................1 Optimization Problem................................................................ 4 1.3.1 Constraints.....................................................................6 1.4 MultiObjective Optimization Problem...................................... 7 1.5 Optimization Techniques........................................................... 7 1.6 Conclusion.................................................................................10 Chapter 2 Optimization Functions.......................................................................11 2.1 Introduction.................................................................................11 2.2 Standard Optimization Functions............................................11 2.3 Traveling Salesman Problem................................................... !6 2.4 Hill Climbing............................................................................ 20 Chapter 3 Genetic Algorithm.............................................................................. 29 3.1 3.2 3.3 3.4 3.5 3.6 3.7 Chapter 4
Introduction............................................................................... 29 Terminology.............................................................................. 30 Fundamental Concept.............................................................. 31 3.3.1 Selection.......................................................................32 3.3.2 CrossOver....................................................................42 3.3.3 Mutation.......................................................................46 Algorithm and Pseudocode.......................................................48 Flowchart.................................................................................. 49 Example.....................................................................................50 Variants and Hybrid...................................................................60 3.7.1 Variants........................................................................ 61 3.7.2 Hybrid.......................................................................... 69 Differential Evolution......................................................................... 71 4.1 4.2 4.3 4.4 4.5 Introduction............................................................................... 71 Terminology.............................................................................. 71 Fundamental Concept.............................................................. 72 Algorithm and Pseudocode......................................................73
Flowchart...................................................................................74 vii
viii Contents 4.6 4.7 Chapter 5 Example.....................................................................................75 Variants and Hybrid..................................................................84 4.7.1 Variants........................................................................84 4.7.2 Hybrid DE....................................................................87 Artificial Bee Colony.........................................................................115 9.1 9.2 9.3 9.4 9.5 9.6 Chapter 10 Introduction..............................................................................191 Terminology.............................................................................192 Fundamental Concept.............................................................192 Algorithm and Pseudocode.................................................... 194 Flowchart.................................................................................196 Example.................................................................................. 200 Introduction to Other Optimization Techniques........................... 211 10.1 10.2 10.3 10.4 10.5 10.6 10.7 10.8 Introduction............................................................................. 211 Bacteria Foraging Algorithm................................................ 211 Whale Optimization............................................................... 212 Bat Algorithm......................................................................... 214 Firefly
Algorithm....................................................................216 Gravitational Search Algorithm............................................ 217 Reducing Variable Trend Search Method............................ 219 Summary................................................................................. 221 Real-Time Application of PSO.................................................................................. 223 Shuffled Frog Leaping Algorithm....................................................137 Bibliography.............................................................................................................. 245 7.1 7.2 7.3 7.4 7.5 7.6 Chapter 8 Teaching Learning Based Optimization....................................... 191 Introduction.............................................................................115 Terminology.............................................................................116 Fundamental Concept.............................................................118 Algorithm and Pseudocode.................................................... 121 Flowchart.................................................................................123 Example...................................................................................126 6.1 6.2 6.3 6.4 6.5 6.6 Chapter 7 Chapter 9 Particle Swarm Optimization........................................................... 89 5.1 Introduction................................................................................ 89 5.2
Terminology.............................................................................. 91 5.3 Evolution of Particle Swarm Optimization............................ 92 5.4 Fundamental Concept.............................................................. 95 5.5 Algorithm and Pseudocode......................................................96 5.6 Flowchart.................................................................................. 97 5.7 Example.....................................................................................98 5.8 Variants and Hybrid................................................................ 106 5.8.1 Variants...................................................................... 106 5.8.2 Hybrid PSO................................................................112 Chapter 6 Contents Introduction..............................................................................137 Terminology.............................................................................138 Fundamental Concept.............................................................138 Algorithm and Pseudocode.................................................... 143 Flowchart.................................................................................146 Example...................................................................................150 Grey Wolf Optimizer.........................................................................165 8.1 8.2 8.3 8.4 8.5 8.6 Introduction..............................................................................165
Terminology.............................................................................167 Fundamental Concept.............................................................168 Algorithm and Pseudocode.................................................... 170 Flowchart................................................................................. 172 Example................................................................................... 173 Optimization Techniques in Python.......................................................................... 235 Standard Optimization Problems...............................................................................241 Index............................................................................................................................ շ59
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| adam_txt |
Contents Preface. xi Chapter 1 Introduction.1 1.1 1.2 1.3 Introduction.1 Terminology.1 Optimization Problem. 4 1.3.1 Constraints.6 1.4 MultiObjective Optimization Problem. 7 1.5 Optimization Techniques. 7 1.6 Conclusion.10 Chapter 2 Optimization Functions.11 2.1 Introduction.11 2.2 Standard Optimization Functions.11 2.3 Traveling Salesman Problem. !6 2.4 Hill Climbing. 20 Chapter 3 Genetic Algorithm. 29 3.1 3.2 3.3 3.4 3.5 3.6 3.7 Chapter 4
Introduction. 29 Terminology. 30 Fundamental Concept. 31 3.3.1 Selection.32 3.3.2 CrossOver.42 3.3.3 Mutation.46 Algorithm and Pseudocode.48 Flowchart. 49 Example.50 Variants and Hybrid.60 3.7.1 Variants. 61 3.7.2 Hybrid. 69 Differential Evolution. 71 4.1 4.2 4.3 4.4 4.5 Introduction. 71 Terminology. 71 Fundamental Concept. 72 Algorithm and Pseudocode.73
Flowchart.74 vii
viii Contents 4.6 4.7 Chapter 5 Example.75 Variants and Hybrid.84 4.7.1 Variants.84 4.7.2 Hybrid DE.87 Artificial Bee Colony.115 9.1 9.2 9.3 9.4 9.5 9.6 Chapter 10 Introduction.191 Terminology.192 Fundamental Concept.192 Algorithm and Pseudocode. 194 Flowchart.196 Example. 200 Introduction to Other Optimization Techniques. 211 10.1 10.2 10.3 10.4 10.5 10.6 10.7 10.8 Introduction. 211 Bacteria Foraging Algorithm. 211 Whale Optimization. 212 Bat Algorithm. 214 Firefly
Algorithm.216 Gravitational Search Algorithm. 217 Reducing Variable Trend Search Method. 219 Summary. 221 Real-Time Application of PSO. 223 Shuffled Frog Leaping Algorithm.137 Bibliography. 245 7.1 7.2 7.3 7.4 7.5 7.6 Chapter 8 Teaching Learning Based Optimization. 191 Introduction.115 Terminology.116 Fundamental Concept.118 Algorithm and Pseudocode. 121 Flowchart.123 Example.126 6.1 6.2 6.3 6.4 6.5 6.6 Chapter 7 Chapter 9 Particle Swarm Optimization. 89 5.1 Introduction. 89 5.2
Terminology. 91 5.3 Evolution of Particle Swarm Optimization. 92 5.4 Fundamental Concept. 95 5.5 Algorithm and Pseudocode.96 5.6 Flowchart. 97 5.7 Example.98 5.8 Variants and Hybrid. 106 5.8.1 Variants. 106 5.8.2 Hybrid PSO.112 Chapter 6 Contents Introduction.137 Terminology.138 Fundamental Concept.138 Algorithm and Pseudocode. 143 Flowchart.146 Example.150 Grey Wolf Optimizer.165 8.1 8.2 8.3 8.4 8.5 8.6 Introduction.165
Terminology.167 Fundamental Concept.168 Algorithm and Pseudocode. 170 Flowchart. 172 Example. 173 Optimization Techniques in Python. 235 Standard Optimization Problems.241 Index. շ59 |
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| author | Badar, Altaf Q. H. ca. 20./21. Jh |
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| illustrated | Illustrated |
| index_date | 2024-07-03T18:31:21Z |
| indexdate | 2024-07-10T09:15:14Z |
| institution | BVB |
| isbn | 0367750546 9780367750541 9781032073378 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032959535 |
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| physical | xii, 261 Seiten Illustrationen, Diagramme 24 cm |
| publishDate | 2022 |
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| spelling | Badar, Altaf Q. H. ca. 20./21. Jh. Verfasser (DE-588)1248079019 aut Evolutionary optimization algorithms Altaf Q.H. Badar First edition Boca Raton ; London ; New York CRC Press 2022 xii, 261 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Genetic algorithms Artificial intelligence Evolutionärer Algorithmus (DE-588)4366912-8 s DE-604 Erscheint auch als Online-Ausgabe 9781003206477 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032959535&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Badar, Altaf Q. H. ca. 20./21. Jh Evolutionary optimization algorithms Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| subject_GND | (DE-588)4366912-8 |
| title | Evolutionary optimization algorithms |
| title_auth | Evolutionary optimization algorithms |
| title_exact_search | Evolutionary optimization algorithms |
| title_exact_search_txtP | Evolutionary optimization algorithms |
| title_full | Evolutionary optimization algorithms Altaf Q.H. Badar |
| title_fullStr | Evolutionary optimization algorithms Altaf Q.H. Badar |
| title_full_unstemmed | Evolutionary optimization algorithms Altaf Q.H. Badar |
| title_short | Evolutionary optimization algorithms |
| title_sort | evolutionary optimization algorithms |
| topic | Evolutionärer Algorithmus (DE-588)4366912-8 gnd |
| topic_facet | Evolutionärer Algorithmus |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032959535&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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