Overview
- 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
Part of the book series: Studies in Computational Intelligence (SCI, volume 811)
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Keywords
- Ant Colony Optimizer
- AUV Path Planning
- Continuous Ant Colony
- Ant Lion Optimizer
- Dragonfly Algorithm
- Feature Selection
- Continuous Genetic Algorithm
- Image Reconstruction
- Controlling Parameter of Genetic Algorithm
- Controlling Parameter of Grey Wolf Optimizer
- Whale Optimization Algorithm
- Sine Cosine Algorithm
- Swarm Algorithm in Extreme Learning Machine
- Local Optima Stagnation
- Optimized Controllers
Table of contents (13 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Nature-Inspired Optimizers
Book Subtitle: Theories, Literature Reviews and Applications
Editors: Seyedali Mirjalili, Jin Song Dong, Andrew Lewis
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-12127-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-12126-6Published: 25 February 2019
Softcover ISBN: 978-3-030-12129-7Published: 28 October 2020
eBook ISBN: 978-3-030-12127-3Published: 01 February 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 238
Number of Illustrations: 7 b/w illustrations, 101 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Optimization, Control and Systems Theory