Pso-Based Evolutionary Learning (Paperback)

The new paradigm of Swarm Intelligence, called Particle Swarm Optimization (PSO), is one of the well-known evolutionary computation techniques, which can be considered as an efficient tool to find near optimal solution in a searching space. Especially, PSO is a useful method when the problems to be solved are high-dimensional, nonlinear or some specific information is unavailable. PSO combines the social-only model and the cognition-only model to select the adjustable parameters to approach optimal solution, its main advantage is its rapid convergence and small computational requirements, which make it a good candidate for solving optimization problems. In this book, the efficient, robust, and flexible PSO algorithms are proposed to generate some artificial intelligence system in solving some applications, such as cluster analysis, image processing, and neural network training.

General

Imprint:	Lap Lambert Academic Publishing
Country of origin:	Germany
Release date:	May 2011
First published:	May 2011
Authors:	Ching-Yi Chen
Dimensions:	229 x 152 x 9mm (L x W x T)
Format:	Paperback - Trade
Pages:	156
ISBN-13:	978-3-8443-3153-0
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	3-8443-3153-0
Barcode:	9783844331530

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