Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series). Este artículo no está disponible.
Idioma: inglés
Editorial: -, 2006
- Tapa dura
- Usado
Librería: AwesomeBooks, Wallingford, Reino UnidoAwesomeBooks
Vendedor de IberLibro desde 28 de noviembre de 2006
Condición: Usado - Bueno
EUR 8,14
Descripción del artículo del vendedor
Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
N° de ref. del artículo 7719-9783540320265
- Título
- Experimental Research in Evolutionary Computation: The New Experimentalism (Natural Computing Series)
- Autor
- -
- Editorial
- -
- Año de publicación
- 2006
- Estado
- Very Good
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 3540320261
- ISBN 13
- 9783540320265
- Serie
- Libro 5 de 32: Natural Computing
This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
This book introduces the new experimentalism in evolutionary computation, providing tools to understand algorithms and programs and their interaction with optimization problems. It develops and applies statistical techniques to analyze and compare modern search heuristics such as evolutionary algorithms and particle swarm optimization. The book bridges the gap between theory and experiment by providing a self-contained experimental methodology and many examples.
“Acerca de” puede pertenecer a otra edición de este título.