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Book synopsis

This book is devoted to the application of genetic algorithms in continuous global optimization. Some of their properties and behavior are highlighted and formally justified.  Various optimization techniques and their taxonomy are the background for detailed discussion. The nature of continuous genetic search is explained by studying the dynamics of probabilistic measure, which is utilized to create subsequent populations. This approach shows that genetic algorithms can be used to extract some areas of the search domain more effectively than to find isolated local minima. The biological metaphor of such behavior is the whole population surviving by rapid exploration of new regions of feeding rather than caring for a single individual. One group of strategies that can make use of this property are two-phase global optimization methods. In the first phase the central parts of the basins of attraction are distinguished by genetic population analysis. Afterwards, the minimizers are found by convex optimization methods executed in parallel.

Book details

Book category Books in English Computing & information technology Computer programming / software development Software Engineering

• Full title: Foundations of Global Genetic Optimization
• Author: Robert Schaefer
• Language: English
• Binding: Hardback
• Number of pages: 222
• EAN: 9783540731917
• ISBN: 3540731911
• ID: 01568747
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 524 g
• Dimensions: 235 × 155 × 18 mm
• Date of publishing: 08. August 2007

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