Natural Computing in Computational Finance (Volume 2)

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  editor =       "Anthony Brabazon and Michael O'Neill",
  title =        "Natural Computing in Computational Finance (Volume
  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 =          "",
  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