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
