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.
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