Collins Ryan Michael (44 results)

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Very Good. First Edition. Chicago: The Poetry Foundation 2003. First Edition. Softcover. Magazine. Pictorial wrappers [about 5.5" x 9"], last numbered page is 112 [first numbered page is 63] [plus ads at the rear]. Mailing label [with name/address blacked-out] else Near Fine. Contents pages in photos cel.

Condition: As New. Unread book in perfect condition.

PAP. Condition: New. Anne Ryan (illustrator). New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. Anne Ryan (illustrator). New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Anne Ryan (illustrator). New Book, Direct from Publisher.

Self publishing, no year. 174 pages + illustrated with appro. 18 plates in b/w. Orig. soft cover. Near fine-. * John McGlinchey, a young Irish transplant from county Donegal finds little opportunity in South Philidelphia during Reconstruction era America.

Condition: Hervorragend. Zustand: Hervorragend | Seiten: 508 | Sprache: Englisch | Produktart: Bücher | 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:ż         Grammar design ż         Bias in GE ż         Mapping in GEż         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.

Condition: New. In.

Condition: New. In.

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. 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.

Condition: New. pp. 497.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Taschenbuch. Condition: Neu. Handbook of Grammatical Evolution | Conor Ryan (u. a.) | Taschenbuch | x | Englisch | 2019 | Springer International Publishing | EAN 9783030087722 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: 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.

Buch. Condition: 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.

Hardcover. Condition: Brand New. 497 pages. 9.25x6.25x1.25 inches. In Stock.

Condition: New.

Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.