Genetic Programming [electronic resource] : 17th European Conference, EuroGP 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers /

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Material type: Text

TextSeries: Theoretical Computer Science and General Issues ; 8599Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014Edition: 1st ed. 2014Description: XII, 247 p. 78 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783662443033

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

518.1 23

LOC classification:

QA76.9.A43

Online resources:

Click here to access online

In: Springer Nature eBookSummary: The book constitutes the refereed proceedings of the 17th European Conference on Genetic Programming, Euro GP 2014, held in Grenada, Spain, in April 2014 co-located with the Evo*2014 events, Evo BIO, Evo COP, Evo MUSART and Evo Applications. The 15 revised full papers presented together with 5 poster papers were carefully reviewed and selected form 40 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as search-based software engineering, image analysis, dynamical systems, evolutionary robotics and operational research to the foundations of search as characterized through semantic variation operators.

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The book constitutes the refereed proceedings of the 17th European Conference on Genetic Programming, Euro GP 2014, held in Grenada, Spain, in April 2014 co-located with the Evo*2014 events, Evo BIO, Evo COP, Evo MUSART and Evo Applications. The 15 revised full papers presented together with 5 poster papers were carefully reviewed and selected form 40 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as search-based software engineering, image analysis, dynamical systems, evolutionary robotics and operational research to the foundations of search as characterized through semantic variation operators.

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