Cover image for Nature-Inspired Optimizers Theories, Literature Reviews and Applications
Nature-Inspired Optimizers Theories, Literature Reviews and Applications
Title:
Nature-Inspired Optimizers Theories, Literature Reviews and Applications
ISBN:
9783030121273
Edition:
1st ed. 2020.
Publication Information New:
Cham : Springer International Publishing : Imprint: Springer, 2020.
Physical Description:
XVI, 238 p. 108 illus., 101 illus. in color. online resource.
Series:
Studies in Computational Intelligence, 811
Contents:
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.
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.
Added Corporate Author:
Language:
English