Introduction to evolutionary computing / A.E. Eiben, James E. Smith
Tipo de material:
TextoSeries Natural computing seriesDetalles de publicación: Berlin : Springer, 2015 Edición: 2nd ed.Descripción: XII, 287 p. ; 24 cmISBN: 9783662448731Tema(s): Redes neuronales (Informática) | Computación evolutivaResumen: New edition of well-established undergraduate textbook revised to offer an integrated view on evolution-based problem-solving algorithmsSuitable for self-study by practitioners and researchersCombines chapters on parameter tuning and control with "how-to" chapters in a new book part dedicated to methodologyThe overall structure of this new edition is three-tier: Part I presents the basics, Part II discusses advanced topics, and Part III is concerned with methodological issues. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, and they added a new chapter on parameter tuning and grouped this with the parameter control and "how-to" chapters into a methodological part.The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
| Tipo de ítem | Biblioteca de origen | Signatura | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems | Bibliografía recomendada |
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| Manuales | 03. BIBLIOTECA INGENIERÍA PUERTO REAL | 681.3/EIB/int (Navegar estantería(Abre debajo)) | Disponible Ubicación en estantería | Bibliomaps® | 3744450043 |
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| CON COMUNICACIONES WORLD : la revista de los usuarios de redes y sistemas de comunicación | Departamento de Francés e Ingés - 316.77/HUA/exp Exploring intercultural communication : language in action / Zhu Hua | Departamento de Ingeniería Informática - 510.5/PAR Parameterized algorithms / Marek Cygan ... [et al.] | Departamento de Ingeniería Informática - 681.3/EIB/int Introduction to evolutionary computing / A.E. Eiben, James E. Smith | Departamento de Ingeniería Informática - 681.3/EIB/int Introduction to evolutionary computing / A.E. Eiben, James E. Smith | Departamento de Ingeniería Mecánica - 669/STA Standar test methods for bulge-forming superplastic metallic sheet | Departamento de Ingeniería Mecánica - 669/STA Standar test method for determining the superplastic properties of metallic sheet materials |
Bibliografía
New edition of well-established undergraduate textbook revised to offer an integrated view on evolution-based problem-solving algorithmsSuitable for self-study by practitioners and researchersCombines chapters on parameter tuning and control with "how-to" chapters in a new book part dedicated to methodologyThe overall structure of this new edition is three-tier: Part I presents the basics, Part II discusses advanced topics, and Part III is concerned with methodological issues. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, and they added a new chapter on parameter tuning and grouped this with the parameter control and "how-to" chapters into a methodological part.The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
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