Adaptation and Hybridization in Computational Intelligence
Author | : Iztok Fister |
Publisher | : Springer |
Total Pages | : 242 |
Release | : 2015-01-24 |
ISBN-10 | : 9783319144009 |
ISBN-13 | : 3319144006 |
Rating | : 4/5 (09 Downloads) |
Download or read book Adaptation and Hybridization in Computational Intelligence written by Iztok Fister and published by Springer. This book was released on 2015-01-24 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This carefully edited book takes a walk through recent advances in adaptation and hybridization in the Computational Intelligence (CI) domain. It consists of ten chapters that are divided into three parts. The first part illustrates background information and provides some theoretical foundation tackling the CI domain, the second part deals with the adaptation in CI algorithms, while the third part focuses on the hybridization in CI. This book can serve as an ideal reference for researchers and students of computer science, electrical and civil engineering, economy, and natural sciences that are confronted with solving the optimization, modeling and simulation problems. It covers the recent advances in CI that encompass Nature-inspired algorithms, like Artificial Neural networks, Evolutionary Algorithms and Swarm Intelligence –based algorithms.