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Evolve - A Bridge Between Probability, Set Oriented Numerics and Evolutionary Computation: 447 - Rilegato
Sinossi
The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation.
The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background.
The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Recensione
From the book reviews:
“The book collects 12 papers and presents those in chapter form. All papers are thoroughly refereed. ... The papers are well structured and consistent in style and presentation. ... this book has an impressive collection of research papers on useful and interesting transdisciplinary topics. I can safely conclude that researchers looking to learn more in this area of research could benefit from this book.” (S. E. Ahmed, Technometrics, Vol. 56 (1), February, 2014)
Contenuti
Part I Foundations, probability and evolutionary computation.-
Part II Set oriented numerics.-
Part III Landscape, coevolution and cooperation.-
Part IV Multi-objective optimization, heuristic conversion algorithms.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreSpringer-Nature New York Inc
- Data di pubblicazione2012
- ISBN 10 3642327257
- ISBN 13 9783642327254
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine414
- RedattoreTantar Emilia, Tantar Alexandru-adrian, Bouvry Pascal, Del Moral Pierre, Legrand Pierrick
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EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation
Editore:
Springer Berlin Heidelberg, 2012
ISBN 10: 3642327257
ISBN 13: 9783642327254
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EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation (Studies in Computational Intelligence, 447)
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EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation
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Springer Berlin Heidelberg Sep 2012, 2012
ISBN 10: 3642327257
ISBN 13: 9783642327254
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background.The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains. 436 pp. Englisch. Codice articolo 9783642327254
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EVOLVE- A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation (Studies in Computational Intelligence, 447)
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Builds a bridge between probability, statistics, set orientedNumerics and evolutionary computingFosters a growing interest for robust and efficient methods with a sound theoretical backgroundUnifies theory-inspired methods and cuttin. Codice articolo 5057028
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The aim of this book is to provide a strong theoretical support for understanding and analyzing the behavior of evolutionary algorithms, as well as for creating a bridge between probability, set-oriented numerics and evolutionary computation. The volume encloses a collection of contributions that were presented at the EVOLVE 2011 international workshop, held in Luxembourg, May 25-27, 2011, coming from invited speakers and also from selected regular submissions. The aim of EVOLVE is to unify the perspectives offered by probability, set oriented numerics and evolutionary computation. EVOLVE focuses on challenging aspects that arise at the passage from theory to new paradigms and practice, elaborating on the foundations of evolutionary algorithms and theory-inspired methods merged with cutting-edge techniques that ensure performance guarantee factors. EVOLVE is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background.The chapters enclose challenging theoretical findings, concrete optimization problems as well as new perspectives. By gathering contributions from researchers with different backgrounds, the book is expected to set the basis for a unified view and vocabulary where theoretical advancements may echo in different domains. Codice articolo 9783642327254
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Evolve- A Bridge Between Probability, Set Oriented Numerics and Evolutionary Computation
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Evolve- A Bridge Between Probability, Set Oriented Numerics and Evolutionary Computation
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Evolve- A Bridge Between Probability, Set Oriented Numerics and Evolutionary Computation
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Evolve - A Bridge Between Probability, Set Oriented Numerics and Evolutionary Computation
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ISBN 10: 3642327257
ISBN 13: 9783642327254
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Hardcover. Condizione: Brand New. 2013 edition. 414 pages. 9.25x6.25x1.00 inches. In Stock. Codice articolo x-3642327257
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