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Computational intelligence in expensive optimization problems. (English) Zbl 1187.90020
Adaptation, Learning, and Optimization 2. Berlin: Springer (ISBN 978-3-642-10700-9/hbk; 978-3-642-26318-7/pbk; 978-3-642-10701-6/ebook). xxix, 725 p. (2010).
Publisher’s description: This is the first book to introduce the emerging field of computational intelligence in expensive optimization problems. Topics covered include: * Dedicated implementations of evolutionary algorithms, neural networks and fuzzy logic. * Reduction of expensive evaluations (modelling, variable-fidelity, fitness inheritance). * Frameworks for optimization (model management, complexity control, model selection). * Parallelization of algorithms (implementation issues on clusters, grids, parallel machines). * Incorporation of expert systems and human-system interface. * Single and multiobjective algorithms. Data mining and statistical analysis. * Analysis of real-world cases (such as multidisciplinary design optimization).
The edited book provides both theoretical treatments and real-world insights gained by experience, all contributed by leading researchers in the respective fields. As such, it is a comprehensive reference for researchers, practitioners, and advanced-level students interested in both the theory and practice of using computational intelligence for expensive optimization problems.
The articles of this volume will not be indexed individually.

90-06 Proceedings, conferences, collections, etc. pertaining to operations research and mathematical programming
90C60 Abstract computational complexity for mathematical programming problems
68Q25 Analysis of algorithms and problem complexity
00B15 Collections of articles of miscellaneous specific interest
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