Description: Nature-Inspired Algorithms for Optimisation Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Raymond Chiong Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642101304, 978-3642101304 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.
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Book Title: Nature-Inspired Algorithms for Optimisation
Number of Pages: 516 Pages
Language: English
Publication Name: Nature-Inspired Algorithms for Optimisation
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Publication Year: 2010
Subject: Engineering & Technology, Computer Science, Management
Item Height: 235 mm
Item Weight: 825 g
Type: Textbook
Author: Raymond Chiong
Subject Area: Data Analysis
Series: Studies in Computational Intelligence
Item Width: 155 mm
Format: Paperback
