Overview
- Presents new optimization techniques beyond Simulated Annealing and Genetic Algorithms with various applications in different engineering disciplines
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 141)
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Table of contents (29 chapters)
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Front Matter
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Introduction
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New Optimization Techniques
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Applications of New Optimization Techniques in Engineering
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Chemical/Metallurgical Engineering
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Civil/Environmental Engineering/Interdisciplinary
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Keywords
About this book
Presently, general-purpose optimization techniques such as Simulated Annealing, and Genetic Algorithms, have become standard optimization techniques. Concerted research efforts have been made recently in order to invent novel optimization techniques for solving real life problems, which have the attributes of memory update and population-based search solutions. The book describes a variety of these novel optimization techniques which in most cases outperform the standard optimization techniques in many application areas. New Optimization Techniques in Engineering reports applications and results of the novel optimization techniques considering a multitude of practical problems in the different engineering disciplines – presenting both the background of the subject area and the techniques for solving the problems.
Authors and Affiliations
Bibliographic Information
Book Title: New Optimization Techniques in Engineering
Authors: Godfrey C. Onwubolu, B. V. Babu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-39930-8
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2004
Hardcover ISBN: 978-3-540-20167-0Published: 21 January 2004
Softcover ISBN: 978-3-642-05767-0Published: 08 December 2010
eBook ISBN: 978-3-540-39930-8Published: 14 March 2013
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XXII, 712
Topics: Complexity, Optimization, Engineering Design, Calculus of Variations and Optimal Control; Optimization, Industrial and Production Engineering, Operations Research/Decision Theory