×

zbMATH — the first resource for mathematics

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.

MSC:
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
PDF BibTeX XML Cite
Full Text: DOI