Nature-Inspired Algorithms for Optimisation

ISBN 10: 3642101305 / ISBN 13: 9783642101304

Published by Springer, 2010

About this Item

Print on Demand pp. 536 161 Illus.

Seller Inventory # 11254979

Bibliographic Details

• Title: Nature-Inspired Algorithms for Optimisation
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 3642101305
• ISBN 13: 9783642101304
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solution. This volume 'Nature-Inspired Algorithms for Optimisation' is a collection of the latest state-of-the-art algorithms and important studies for tackling various kinds of optimisation problems. It comprises 18 chapters, including two introductory chapters which address the fundamental issues that have made optimisation problems difficult to solve and explain the rationale for seeking inspiration from nature. The contributions stand out through their novelty and clarity of the algorithmic descriptions and analyses, and lead the way to interesting and varied new applications.