Handbook of Grammatical Evolution

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Handbook of Grammatical Evolution by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319787176
Publisher: Springer International Publishing Publication: September 11, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319787176
Publisher: Springer International Publishing
Publication: September 11, 2018
Imprint: Springer
Language: English

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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

More books from Springer International Publishing

Cover of the book Intraocular Surgery by
Cover of the book Quantifying and Processing Biomedical and Behavioral Signals by
Cover of the book Literary Festivals and Contemporary Book Culture by
Cover of the book Advances in Swarm Intelligence by
Cover of the book The Bioarchaeology of Dissection and Autopsy in the United States by
Cover of the book Human Rights-Based Approaches to Clinical Social Work by
Cover of the book Fractional Thermoelasticity by
Cover of the book Towards Cognitive Cities by
Cover of the book Educational Psychology Practice by
Cover of the book Surface Active Monomers by
Cover of the book Hybrid Energy Systems by
Cover of the book Structural and Functional Characterization of the Immunoproteasome by
Cover of the book Handbook of Ratings by
Cover of the book The Crafty Animator by
Cover of the book Abel Gance and the End of Silent Cinema by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy