Adaptation and Hybridization in Computational Intelligence (Paperback)

Iztok Fister Jr.

ISBN 10: 3319359053 / ISBN 13: 9783319359052

Published by Springer International Publishing AG, Cham, 2016

About this Item

Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9783319359052

Bibliographic Details

• Title: Adaptation and Hybridization in Computational Intelligence (Paperback)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2016
• Language: English
• ISBN 10: 3319359053
• ISBN 13: 9783319359052
• Binding: Paperback
• Condition: new

About this title

Synopsis

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.