Computational optimization, methods and algorithms

Koziel , Slawomir and Yang, Xin-She, eds. (2011) Computational optimization, methods and algorithms. 978-3-642-20859-1, 356 . Springer, Berlin. ISBN 9783642208584 (hbk), 9783642208591 (ebk)

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Official URL: http://www.springerlink.com/content/978-3-642-2085...

Abstract

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry.

Item Type:Book
Keywords (uncontrolled):Design optimization - derivative-free optimization - engineering optimization - evolutionary algorithms - firefly algorithm - genetic algorithms - gradient-based method
Research Areas:School of Science and Technology > Science & Technology
ID Code:9532
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Deposited On:15 Nov 2012 10:44
Last Modified:06 Feb 2013 11:34

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