"Sinopsis" puede pertenecer a otra edición de este libro.
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)
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Gastos de envío:
GRATIS
A Estados Unidos de America
Descripción Hardcover. Condición: new. Nº de ref. del artículo: 9783642327254
Descripción Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9783642327254_lsuk
Descripción Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020224267
Descripción Buch. Condición: 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. Nº de ref. del artículo: 9783642327254
Descripción Gebunden. Condición: 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. Nº de ref. del artículo: 5057028
Descripción Buch. Condición: 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. Nº de ref. del artículo: 9783642327254
Descripción Condición: New. This book provides strong theoretical support for analyzing the behavior of evolutionary algorithms and for bridging probability, set-oriented numerics and evolutionary computation. Offers theoretical findings, optimization problems and new perspectives. Editor(s): Tantar, Emilia; Tantar, Alexandru-Adrian; Bouvry, Pascal; Moral, Pierre Del; Legrand, Pierrick; Coello Coello, Carlos A.; Schutze, Oliver. Series: Studies in Computational Intelligence. Num Pages: 436 pages, biography. BIC Classification: PBT; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 812. . 2012. Hardback. . . . . Nº de ref. del artículo: V9783642327254
Descripción Hardcover. Condición: Brand New. 2013 edition. 414 pages. 9.25x6.25x1.00 inches. In Stock. Nº de ref. del artículo: x-3642327257
Descripción Condición: New. This book provides strong theoretical support for analyzing the behavior of evolutionary algorithms and for bridging probability, set-oriented numerics and evolutionary computation. Offers theoretical findings, optimization problems and new perspectives. Editor(s): Tantar, Emilia; Tantar, Alexandru-Adrian; Bouvry, Pascal; Moral, Pierre Del; Legrand, Pierrick; Coello Coello, Carlos A.; Schutze, Oliver. Series: Studies in Computational Intelligence. Num Pages: 436 pages, biography. BIC Classification: PBT; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 28. Weight in Grams: 812. . 2012. Hardback. . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9783642327254