Logo - springer
Slogan - springer

Engineering - Computational Intelligence and Complexity | Practical Applications of Evolutionary Computation to Financial Engineering - Robust Techniques

Practical Applications of Evolutionary Computation to Financial Engineering

Robust Techniques for Forecasting, Trading and Hedging

Iba, Hitoshi, Aranha, Claus C.

2012, XII, 248p. 163 illus., 89 illus. in color.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-642-27648-4

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-642-27647-7

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • Delivers theoretical and practical knowledge on finance and evolutionary economics
  • Presents an overview of evolutionary methods for computational finances and provides workable simulators for end-users
  • Written by leading experts in the field

“Practical Applications of Evolutionary Computation to Financial Engineering” presents the state of the art techniques in Financial Engineering using recent results in Machine Learning and Evolutionary Computation. This book bridges the gap between academics in computer science and traders and explains the basic ideas of the proposed systems and the financial problems in ways that can be understood by readers without previous knowledge on either of the fields. To cement the ideas discussed in the book, software packages are offered that implement the systems described within.

The book is structured so that each chapter can be read independently from the others. Chapters 1 and 2 describe evolutionary computation. The third chapter is an introduction to financial engineering problems for readers who are unfamiliar with this area. The following chapters each deal, in turn, with a different problem in the financial engineering field describing each problem in detail and focusing on solutions based on evolutionary computation. Finally, the two appendixes describe software packages that implement the solutions discussed in this book, including installation manuals and parameter explanations.

Content Level » Research

Keywords » Evolutionary Optimization - Financial Engineering - Genetic Algorithms - Genetic Programming - Memetic Algorithms

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Finance & Banking

Table of contents 

Introduction to Genetic Algorithms.- Advanced topics in Evolutionary Computation.- Financial Engineering.- Predicting Financial Data.- Trend Analysis.- Trading Rule Generation for Foreign Exchange (FX).- Portfolio Optimization.

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Computational Intelligence.