Created by W.Langdon from gp-bibliography.bib Revision:1.2031
@Book{Brabazon:2009:book,
editor = "Anthony Brabazon and Michael O'Neill",
title = "Natural Computing in Computational Finance (Volume
2)",
publisher = "Springer",
year = "2009",
volume = "185",
series = "Studies in Computational Intelligence",
month = mar,
keywords = "genetic algorithms, genetic programming, computational
Finance, Computational Intelligence",
isbn13 = "978-3-540-95973-1",
URL = "
http://www.springer.com/engineering/book/978-3-540-95973-1",
abstract = "About this book
Recent years have seen the widespread application of
Natural Computing algorithms (broadly defined in this
context as computer algorithms whose design draws
inspiration from phenomena in the natural world) for
the purposes of financial modeling and optimisation. A
related stream of work has also seen the application of
learning mechanisms drawn from Natural Computing
algorithms for the purposes of agent based modelling in
finance and economics. In this book we have collected a
series of chapters which illustrate these two faces of
Natural Computing. The first part of the book
illustrates how algorithms inspired by the natural
world can be used as problem solvers to uncover and
optimise financial models. The second part of the book
examines a number agent-based simulations of financial
systems. This book follows on from Natural Computing in
Computational Finance (Volume 100 in Springer's Studies
in Computational Intelligence series) which in turn
arose from the success of EvoFIN 2007, the very first
European Workshop on Evolutionary Computation in
Finance & Economics held in Valencia, Spain in April
2007. Written for:
Engineers, researchers, and graduate students in
Computational Intelligence and Computer Finance",
size = "approx 260 pages",
}
Genetic Programming entries for Anthony Brabazon Michael O'Neill