Title: “Handbook of Grammatical Evolution”
Editors:
Conor Ryan (University of Limerick, Ireland, e-mail: [log in to unmask])
Michael O’Neill (University College Dublin, Ireland, e-mail:
[log in to unmask])
J.J. Collins (University of Limerick, Ireland, e-mail: [log in to unmask])
Scope and Aims:
Grammatical Evolution (GE) is a grammar-based Evolutionary Algorithm
that employs a mapping function to map binary strings into higher-level
structures such as programs. Its simplicity and modular nature make it
very flexible and, since its introduction almost twenty years ago,
researchers have applied it to an enormous range of problem domains,
including financial modelling, parallel programming and genetics.
Similarly, much work has been conducted on ways in which to exploit and
understand the nature of its mapping scheme, and research on everything
from different grammars to alternative mappers to initialisation has
been conducted.
The launch of this book will be timed with the twentieth anniversary of
the first GE paper; it will capture the current state of the art and
describe some of the most exciting applications currently being tackled
with GE. We invite chapters for both an analysis and an application
section. Analysis chapters can perform analysis on existing GE
techniques or suggest alternative approaches to some of the key GE
modules, such as mapping and representation. Application chapters should
use some form of GE to tackle significant, real-world problems, and
reflect on how the use of grammars was useful in their domain.
Potential authors are invited to submit an extended abstract (3 pages or
less) for either the analysis or application sections.
Topics of interest in the analysis domain include (but are not limited to):
• Attribute Grammars
• Crossover
• Initialisation
• Locality
• Mapping
• Numerical Optimization
• Representation
• Semantic crossover
Topics of interest in the application domain include (but are not
limited to):
• Financial Prediction
• Game Playing
• Genetics
• Medicine
• Parallel Program Development
• Robotics
• Software Engineering
• Supply Chain Analysis
This book will serve as a timely and excellent description of the
current state-of-the-art of GE, with the analysis chapters providing in
depth scrutiny of, and alternatives to, key GE modules. The application
chapters will provide real-world deployments of GE and its continued
relevance in the field. This will provide all the details necessary for
the successful application of GE to real-world problems.
Timetable:
Call for chapters: February/March 2017
Deadline for submission of abstract (3 pages): March 31, 2017
Author notification: April 30, 2017
Deadline for submission of manuscripts (24 pages): July 30, 2017
Chapter reviews completed: September 30, 2017
Deadline for submission of the revised version: November 30, 2017
Publication: Early 2018
Publisher: Springer
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