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Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319787160 ISBN 13: 9783319787169
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization.The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE.The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems.Topics include:- Grammar design Bias in GE- Mapping in GE- Theory of disruption in GE Structured GE Geometric semantic GE GE and semantics Multi- and Many-core heterogeneous parallel GE Comparing methods to creating constants in GE Financial modelling with GE Synthesis of parallel programs on multi-cores Design, architecture and engineering with GE Computational creativity and GE GE in the prediction of glucose for diabetes GE approaches to bioinformatics and system genomics GE with coevolutionary algorithms in cybersecurity Evolving behaviour trees with GE for platform games Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials.
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Añadir al carritoHardcover. Condición: Brand New. 497 pages. 9.25x6.25x1.25 inches. In Stock.
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Sep 2018, 2018
ISBN 10: 3319787160 ISBN 13: 9783319787169
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization.The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE.The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems.Topics include:- Grammar design - Bias in GE- Mapping in GE- Theory of disruption in GE Structured GE Geometric semantic GE GE and semantics Multi- and Many-core heterogeneous parallel GE Comparing methods to creating constants in GE Financial modelling with GE Synthesis of parallel programs on multi-cores Design, architecture and engineering with GE Computational creativity and GE GE in the prediction of glucose for diabetes GE approaches to bioinformatics and system genomics GE with coevolutionary algorithms in cybersecurity Evolving behaviour trees with GE for platform games Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials 508 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319787160 ISBN 13: 9783319787169
Librería: moluna, Greven, Alemania
EUR 136,16
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines the state of the art in Grammatical EvolutionDemonstrates a variety of significant applications for Grammatical Evoluation Provides literature review and reflection spanning two decades of research in the field.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 204,13
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer International Publishing Sep 2018, 2018
ISBN 10: 3319787160 ISBN 13: 9783319787169
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿ Bias in GESpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 508 pp. Englisch.