evolutionary algorithms role mutation von spears william (7 Ergebnisse)

Zustand: Good. 1st Edition. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Zustand: deutliche Gebrauchsspuren. mak. Bibl. / library TitelEvolutionary algorithms : the role of mutation and recombination ; with 23 tables / William M. Spears Person(en)Spears, William M. (Verfasser) VerlagBerlin ; Heidelberg ; New York ; Barcelona ; Hong Kong ; London ; Milan ; Paris ; Singapore ; Tokyo : Springer Zeitliche EinordnungErscheinungsdatum: 2000 Umfang/FormatXIV, 222 S. : graph. Darst. ; 25 cm ISBN/Einband/Preis978-3-540-66950-0 Pp. : DM 69.00 3-540-66950-7 Pp. : DM 69.00 Sprache(n)Englisch (eng) BeziehungenNatural computing series AnmerkungenLiteraturverz. S. 213 - 217 SchlagwörterEvolutionärer Algorithmus Evolutionärer Algorithmus ; Rekombination Evolutionärer Algorithmus ; Mutation Evolutionärer Algorithmus ; Markov-Kette Sachgruppe(n)28 Informatik, Datenverarbeitung ; 27 Mathematik ; 32 Biologie In englischer Sprache. 222 pages. 230x150 mm.

Zustand: Wie neu. 236 p. As new. ISBN: 9783540669500 Sprache: Englisch Gewicht in Gramm: 474 15,6 x 1,4 x 23,4 cm, Hardcover.

Zustand: New. In.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Despite decades of work in evolutionary algorithms, there remains a lot of uncertainty as to when it is beneficial or detrimental to use recombination or mutation. This book provides a characterization of the roles that recombination and mutation play in evolutionary algorithms. It integrates prior theoretical work and introduces new theoretical techniques for studying evolutionary algorithms. An aggregation algorithm for Markov chains is introduced which is useful for studying not only evolutionary algorithms specifically, but also complex systems in general. Practical consequences of the theory are explored and a novel method for comparing search and optimization algorithms is introduced. A focus on discrete rather than real-valued representations allows the book to bridge multiple communities, including evolutionary biologists and population geneticists.