Handbook of Grammatical Evolution / edited by Conor Ryan, Michael O'Neill, JJ Collins.

Format:

Book

Contributor:

Ryan, Conor, editor.

O'Neill, Michael, editor.

Collins, JJ, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Artificial intelligence.

Artificial Intelligence.

Local Subjects:

Artificial Intelligence.

Physical Description:

1 online resource (X, 497 pages) : 177 illustrations, 79 illustrations in color

Edition:

First edition 2018.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

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.

Contents:

1 Introduction to GE

2 Understanding Grammatical Evolution: Grammar Design

3 Bias in Grammatical Evolution

4 Mapping in Grammatical Evolution

5 Theory of Disruption in GE

6 Structured Grammatical Evolution

7 Geometric Semantic Grammatical Evolution

8 GE and Semantics

9 Multi- and Many-core Heterogeneous Parallel Grammatical Evolution

10 Grammatical Evolution

11 Financial Modelling with Grammatical Evolution

12 Synthesis of Parallel Programs on Multi-cores

13 Design, Architecture and Engineering with Grammatical Evolution

14 Computational Creativity and Grammatical Evolution

15 Grammatical Evolution in the Prediction of Glucose for Diabetes

16 Genomics

17 Grammatical Evolution with Coevolutionary Algorithms in Cybersecurity

18 Evolving Behavior Trees with Grammatical Evolution for Platform Games

19 Patient Recruitment in Multicentre Clinical Trials.

Other Format:

Printed edition:

ISBN:

978-3-319-78717-6

9783319787176

9783319787169

9783319787183

9783030087722

Access Restriction:

Restricted for use by site license.