Can I read Computational Intelligence in Expensive Optimization Problems (Adaptation, Learning, and Optimization, 2) on EtoBox?

Computational Intelligence in Expensive Optimization Problems (Adaptation, Learning, and Optimization, 2) by L. Shi, K. Rasheed (auth.), Yoel Tenne, Chi-Keong Goh (eds.) is a nonfiction available to read on EtoBox.

What is Computational Intelligence in Expensive Optimization Problems (Adaptation, Learning, and Optimization, 2) about?

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc. Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. 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). * Inco

Who reads Computational Intelligence in Expensive Optimization Problems (Adaptation, Learning, and Optimization, 2)?

Author

L. Shi, K. Rasheed (auth.), Yoel Tenne, Chi-Keong Goh (eds.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2010

Language

EN

ISBN

9783642107009

Category

nonfiction

Subjects

Mathematics, Engineering, Business