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Designing Evolutionary Algorithms For Dynamic Environments

Designing Evolutionary Algorithms For Dynamic Environments - Morrison, Ronald W. - ISBN: 9783540212317
Prijs: € 88,20
Levertijd: 4 tot 6 werkdagen
Bindwijze: Boek, Gebonden
Genre: Theoretische informatica
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Beschrijving

Details Robustness, Stability, And Performance Of Evolutionary Algorithms In Dynamic Environments

Details

Titel: Designing Evolutionary Algorithms For Dynamic Environments
auteur: Morrison, Ronald W.
Mediatype: Boek
Bindwijze: Gebonden
Taal: Engels
Aantal pagina's: 149
Uitgever: Springer-verlag Berlin And Heidelberg Gmbh & Co. Kg
Plaats van publicatie: 04
NUR: Theoretische informatica
Collectie: Natural Computing Series
Afmetingen: 229 x 152
Gewicht: 920 gr
ISBN/ISBN13: 3540212310
ISBN/ISBN13: 9783540212317
Intern nummer: 3677532

Extra informatie

The robust capability of Evolutionary Algorithms (EAs) to find solutions to difficult problems has permitted them to become the optimization and search techniques of choice for many practical static problems.Despite this success in many different environments, EAs are often prone to failure when subjected to even small changes in the problem. Effective solutions for many real-world engineering and economic problems require systems that adapt to changes over time.This book addresses the issues involved in the design of EAs that successfully operate in dynamic environments without human intervention, and provides a method for creating EAs for these environments.

Recensie

From the reviews: "This book is a monograph explaining the research performed by the author in the field of dynamic search algorithms. Overall, the work is presented in a clear manner and gives a useful introduction to what is likely to be a major area of development in the field of evolutionary algorithms. I would definitely recommend the book to all workers in this field who want a clear but rapid overview ." (G. F. Page, Robotica, Vol. 24, 2006)

Inhoudsopgave

1 Introduction.- 2 Problem Analysis.- 3 Solutions from Nature and Engineering.- 4 Diversity Measurement.- 5 A New EA for Dynamic Problems.- 6 Experimental Methods.- 7 Performance Measurement.- 8 Analysis and Interpretation of Experimental Results.- 9 Experimental Results for Population Initialization.- 10 Summary and Conclusion.- Notation.- References.

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