Advances of Soft Computing in Engineering

Advances of Soft Computing in Engineering

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The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.An example of a search space space and find the highest peak, although sometimes it may be desirable to find all the peaks over a given ... For example, Matlab has an extension which allows the easy development of a genetic algorithm.

Title:Advances of Soft Computing in Engineering
Author: Zenon Waszczyszyn
Publisher:Springer Science & Business Media - 2010-01-01

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