Yoel Tenne – Computational Intelligence in Optimization

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Size 8 MB
E-book: 800 pages
Publisher: Springer; 2010 edition (22 April 2010)
Language: English
ISBN-10: 3642107001
ISBN-13: 978-3642107009

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Description

Yoel Tenne – Computational Intelligence in Optimization

In fashionable science and engineering, laboratory experiments are changed by excessive constancy and computationally costly simulations. Using such simulations reduces prices and shortens growth instances however introduces new challenges to design optimization course of. Examples of such challenges embrace restricted computational useful resource for simulation runs, sophisticated response floor of the simulation inputs-outputs, and and so on.
Under such difficulties, classical optimization and evaluation strategies might carry out poorly. This motivates the applying of computational intelligence strategies reminiscent of evolutionary algorithms, neural networks and fuzzy logic, which frequently carry out effectively in such settings. This is the primary e-book to introduce the rising area of computational intelligence in costly optimization issues. Topics coated embrace: devoted implementations of evolutionary algorithms, neural networks and fuzzy logic. discount of costly evaluations (modelling, variable-fidelity, health inheritance), frameworks for optimization (mannequin administration, complexity management, mannequin choice), parallelization of algorithms (implementation points on clusters, grids, parallel machines), incorporation of knowledgeable programs and human-system interface, single and multiobjective algorithms, information mining and statistical evaluation, evaluation of real-world circumstances (reminiscent of multidisciplinary design optimization).
The edited e-book offers each theoretical therapies and real-world insights gained by expertise, all contributed by main researchers in the respective fields. As such, it’s a complete reference for researchers, practitioners, and advanced-level college students in each the speculation and apply of utilizing computational intelligence for costly optimization issues.

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