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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications
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| Titel: | Nature-Inspired Optimizers: Theories, Literature Reviews and Applications/ edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis |
| Format: | E-Book |
| Sprache: | Englisch |
| veröffentlicht: |
Cham
Springer International Publishing
2020
|
| Gesamtaufnahme: |
Studies in Computational Intelligence Springer eBook Collection SpringerLink |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB |
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| 520 | |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 | ||
| 520 | |a Preface -- Chapter 1. Introduction to Nature-inspired Algorithms -- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network -- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection -- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc | ||
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| 650 | 0 | |a Mathematical optimization | |
| 650 | 0 | |a Computational Intelligence | |
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| 700 | 1 | |a Song Dong, Jin |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Lewis, Andrew |e HerausgeberIn |4 edt | |
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| contents | 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, Preface -- Chapter 1. Introduction to Nature-inspired Algorithms -- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network -- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection -- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc |
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| doi_str_mv | 10.1007/978-3-030-12127-3 |
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| local_heading_facet_dezwi2 | Engineering, Artificial intelligence, Mathematical optimization, Computational Intelligence, Control engineering. |
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| physical | Online-Ressource (XVI, 238 p. 108 illus., 101 illus. in color, online resource) |
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| spelling | Nature-Inspired Optimizers Theories, Literature Reviews and Applications edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis, Cham Springer International Publishing 2020, Online-Ressource (XVI, 238 p. 108 illus., 101 illus. in color, online resource), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Studies in Computational Intelligence 811, Springer eBook Collection, SpringerLink Bücher, 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, Preface -- Chapter 1. Introduction to Nature-inspired Algorithms -- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network -- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection -- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc, Springer eBook Collection. Intelligent Technologies and Robotics, Engineering, Artificial intelligence, Mathematical optimization, Computational Intelligence, Control engineering., Mirjalili, Seyedali HerausgeberIn (DE-588)1165238977 (DE-627)102936320X (DE-576)510314694 edt, Song Dong, Jin HerausgeberIn edt, Lewis, Andrew HerausgeberIn edt, 9783030121266, 9783030121280, 9783030121297, Erscheint auch als Druck-Ausgabe 978-3-030-12126-6, Printed edition 9783030121266, Printed edition 9783030121280, Printed edition 9783030121297, https://doi.org/10.1007/978-3-030-12127-3 X:SPRINGER Verlag lizenzpflichtig Volltext, http://dx.doi.org/10.1007/978-3-030-12127-3 Resolving-System Volltext, https://swbplus.bsz-bw.de/bsz1067368205cov.jpg V:DE-576 X:SPRINGER image/jpeg 20200305161139 Cover, https://doi.org/10.1007/978-3-030-12127-3 DE-Ch1, DE-Ch1 epn:3551102643 2019-11-28T16:29:32Z, https://doi.org/10.1007/978-3-030-12127-3 DE-Zwi2, DE-Zwi2 epn:3546604083 2019-11-22T17:06:13Z |
| spellingShingle | Nature-Inspired Optimizers: Theories, Literature Reviews and Applications, 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, Preface -- Chapter 1. Introduction to Nature-inspired Algorithms -- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network -- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection -- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc, Engineering, Artificial intelligence, Mathematical optimization, Computational Intelligence, Control engineering. |
| swb_id_str | 518431231 |
| title | Nature-Inspired Optimizers: Theories, Literature Reviews and Applications |
| title_auth | Nature-Inspired Optimizers Theories, Literature Reviews and Applications |
| title_full | Nature-Inspired Optimizers Theories, Literature Reviews and Applications edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis |
| title_fullStr | Nature-Inspired Optimizers Theories, Literature Reviews and Applications edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis |
| title_full_unstemmed | Nature-Inspired Optimizers Theories, Literature Reviews and Applications edited by Seyedali Mirjalili, Jin Song Dong, Andrew Lewis |
| title_short | Nature-Inspired Optimizers |
| title_sort | nature inspired optimizers theories literature reviews and applications |
| title_sub | Theories, Literature Reviews and Applications |
| title_unstemmed | Nature-Inspired Optimizers: Theories, Literature Reviews and Applications |
| topic | Engineering, Artificial intelligence, Mathematical optimization, Computational Intelligence, Control engineering. |
| topic_facet | Engineering, Artificial intelligence, Mathematical optimization, Computational Intelligence, Control engineering. |
| url | https://doi.org/10.1007/978-3-030-12127-3, http://dx.doi.org/10.1007/978-3-030-12127-3, https://swbplus.bsz-bw.de/bsz1067368205cov.jpg |