Nature-Inspired Optimizers: Theories, Literature Reviews and Applications: Studies in Computational Intelligence, cartea 811
Editat de Seyedali Mirjalili, Jin Song Dong, Andrew Lewisen Limba Engleză Hardback – 25 feb 2019
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 630.47 lei 6-8 săpt. | |
Springer International Publishing – 28 oct 2020 | 630.47 lei 6-8 săpt. | |
Hardback (1) | 636.62 lei 6-8 săpt. | |
Springer International Publishing – 25 feb 2019 | 636.62 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030121266
ISBN-10: 3030121267
Pagini: 244
Ilustrații: XVI, 238 p. 108 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030121267
Pagini: 244
Ilustrații: XVI, 238 p. 108 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.54 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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
Textul de pe ultima copertă
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.
Caracteristici
Offers a comprehensive tutorial on evolutionary optimization Describes the mathematical model each algorithm is based on Reports on several benchmark case studies Source codes are available on a dedicated webpage