Genetic Algorithms Computational Finance

Computational Finance: An Introductory Course with R (Repost)  eBooks & eLearning

Posted by DZ123 at June 23, 2018
Computational Finance: An Introductory Course with R (Repost)

Argimiro Arratia, "Computational Finance: An Introductory Course with R"
English | 2014 | ISBN: 946239069X | PDF | pages: 305 | 4.8 mb
Recent Developments in Computational Finance:Foundations, Algorithms and Applications (repost)

Thomas Gerstner, Peter Kloeden, "Recent Developments in Computational Finance: Foundations, Algorithms and Applications"
English | ISBN: 9814436429 | 2013 | 480 pages | PDF | 3 MB
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing(Repost)

Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing by Hojjat Adeli
English | 2005 | ISBN: 0470867337 | 222 Pages | PDF | 2.48 MB

Grouping Genetic Algorithms: Advances and Applications  eBooks & eLearning

Posted by arundhati at Oct. 16, 2016
Grouping Genetic Algorithms: Advances and Applications

Michael Mutingi, Charles Mbohwa, "Grouping Genetic Algorithms: Advances and Applications"
2016 | ISBN-10: 3319443933 | 243 pages | PDF | 6 MB

Genetic Algorithms and Genetic Programming in Computational Finance  eBooks & eLearning

Posted by MoneyRich at Dec. 13, 2014
Genetic Algorithms and Genetic Programming in Computational Finance

Genetic Algorithms and Genetic Programming in Computational Finance by Shu-Heng Chen
English | July 31, 2002 | ISBN: 1461352622 | 489 pages | PDF | 18 MB

After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. Genetic Algorithms and Genetic Programming in Computational Finance is a pioneering volume devoted entirely to a systematic and comprehensive review of this subject. Chapters cover various areas of computational finance, including financial forecasting, trading strategies development, cash flow management, option pricing, portfolio management, volatility modeling, arbitraging, and agent-based simulations of artificial stock markets. Two tutorial chapters are also included to help readers quickly grasp the essence of these tools. Finally, a menu-driven software program, Simple GP, accompanies the volume, which will enable readers without a strong programming background to gain hands-on experience in dealing with much of the technical material introduced in this work.
Recent Developments in Computational Finance:Foundations, Algorithms and Applications

Thomas Gerstner, Peter Kloeden, "Recent Developments in Computational Finance:Foundations, Algorithms and Applications"
English | ISBN: 9814436429 | 2013 | 480 pages | PDF | 3 MB

Natural Computing in Computational Finance: Volume 2 [Repost]  eBooks & eLearning

Posted by ChrisRedfield at April 27, 2013
Natural Computing in Computational Finance: Volume 2 [Repost]

Anthony Brabazon, Michael O'Neill - Natural Computing in Computational Finance: Volume 2
Published: 2009-03-12 | ISBN: 3540959734 | PDF | 250 pages | 6 MB
Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)

Gabriel Luque, Enrique Alba, "Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)"
Publisher: Springer | ISBN 10: 3642220835 | 2011 | PDF | 184 pages | 2 MB
Quantitative Methods in Derivatives Pricing: An Introduction to Computational Finance

Domingo Tavella, "Quantitative Methods in Derivatives Pricing: An Introduction to Computational Finance"
Wiley | 2002 | ISBN: 0471394475 | 256 pages | PDF | 1,5 MB

Natural Computing in Computational Finance: Volume 2  eBooks & eLearning

Posted by tot167 at Feb. 1, 2009
Natural Computing in Computational Finance: Volume 2

Anthony Brabazon, Michael O'Neill, “Natural Computing in Computational Finance: Volume 2”
Springer | 2009-04-01 | ISBN: 3540959734 | 250 pages | PDF | 6,3 MB