Description: Nature-inspired Algorithms for Optimisation, Paperback by Chiong, Raymond, ISBN 3642101305, ISBN-13 9783642101304, Like New Used, Free shipping in the US 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: Xviii, 516 Pages
Language: English
Publication Name: Nature-Inspired Algorithms for Optimisation
Publisher: Springer Berlin / Heidelberg
Subject: Engineering (General), Intelligence (Ai) & Semantics, Applied
Publication Year: 2010
Item Weight: 29.1 Oz
Type: Textbook
Author: Raymond Chiong
Subject Area: Mathematics, Computers, Technology & Engineering
Item Length: 9.3 in
Series: Studies in Computational Intelligence Ser.
Item Width: 6.1 in
Format: Trade Paperback
