Nature-inspired optimizers: theories, literature reviews and applications
Gespeichert in:
Weitere beteiligte Personen: | , , |
---|---|
Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
Cham
Springer
[2020]
|
Schriftenreihe: | Studies in computational intelligence
Volume 811 |
Schlagwörter: | |
Abstract: | This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage |
Umfang: | xvi, 238 Seiten Illustrationen, Diagramme (farbig) |
ISBN: | 9783030121266 |
Internformat
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490 | 1 | |a Studies in computational intelligence |v Volume 811 | |
520 | 3 | |a This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage | |
653 | 0 | |a Engineering | |
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700 | 1 | |a Mirjalili, Seyedali |0 (DE-588)1165238977 |4 edt | |
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776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-12127-3 |
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Datensatz im Suchindex
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id | DE-604.BV045532721 |
illustrated | Illustrated |
indexdate | 2024-12-20T18:29:34Z |
institution | BVB |
isbn | 9783030121266 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030916798 |
oclc_num | 1091062916 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | xvi, 238 Seiten Illustrationen, Diagramme (farbig) |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Springer |
record_format | marc |
series | Studies in computational intelligence |
series2 | Studies in computational intelligence |
spelling | Nature-inspired optimizers theories, literature reviews and applications Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors Cham Springer [2020] © 2020 xvi, 238 Seiten Illustrationen, Diagramme (farbig) txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence Volume 811 This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage Engineering Artificial intelligence Mathematical optimization Computational Intelligence Mirjalili, Seyedali (DE-588)1165238977 edt Song Dong, Jin edt Lewis, Andrew (DE-588)1179946413 edt Erscheint auch als Online-Ausgabe 978-3-030-12127-3 Studies in computational intelligence Volume 811 (DE-604)BV020822171 811 |
spellingShingle | Nature-inspired optimizers theories, literature reviews and applications Studies in computational intelligence |
title | Nature-inspired optimizers theories, literature reviews and applications |
title_auth | Nature-inspired optimizers theories, literature reviews and applications |
title_exact_search | Nature-inspired optimizers theories, literature reviews and applications |
title_full | Nature-inspired optimizers theories, literature reviews and applications Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors |
title_fullStr | Nature-inspired optimizers theories, literature reviews and applications Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors |
title_full_unstemmed | Nature-inspired optimizers theories, literature reviews and applications Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, editors |
title_short | Nature-inspired optimizers |
title_sort | nature inspired optimizers theories literature reviews and applications |
title_sub | theories, literature reviews and applications |
volume_link | (DE-604)BV020822171 |
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