Dynamic environments abound, encompassing many real-world problems in
fields as diverse as finance, engineering, biology and business. A
vibrant research literature has emerged which takes inspiration from
evolutionary processes to develop problem-solvers for these
environments.
'Foundations in Grammatical Evolution for Dynamic Environments' is a
cutting edge volume illustrating current state of the art in applying
grammar-based evolutionary computation to solve real-world problems in
dynamic environments. The book provides a clear introduction to dynamic
environments and the types of change that can occur. This is followed by
a detailed description of evolutionary computation, concentrating on the
powerful Grammatical Evolution methodology. It continues by addressing
fundamental issues facing all Evolutionary Algorithms in dynamic
problems, such as how to adapt and generate constants, how to enhance
evolvability and maintain diversity. Finally, the developed methods are
illustrated with application to the real-world dynamic problem of
trading on financial time-series.
The book was written to be accessible to a wide audience and should be
of interest to practitioners, academics and students, who are seeking to
apply grammar-based evolutionary algorithms to solve problems in dynamic
environments. 'Foundations in Grammatical Evolution for Dynamic
Environments' is the second book dedicated to the topic of Grammatical
Evolution.
