Antony Brabazon, Michael O’Neill – Biologically Inspired Algorithms for Financial Modeling

Description

Predicting the long run for monetary acquire is a troublesome, generally worthwhile exercise. The focus of this e book is the appliance of biologically impressed algorithms (BIAs) to monetary modelling.

 

In an in depth introduction, the authors clarify pc buying and selling on monetary markets and the difficulties confronted in monetary market modelling. Then Part I supplies a radical information to the varied bioinspired methodologies – neural networks, evolutionary computing (significantly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune programs. Part II brings the reader by the event of market buying and selling programs. Finally, Part III examines real-world case research the place BIA methodologies are employed to assemble buying and selling programs in fairness and international change markets, and for the prediction of company bond scores and company failures.

 

The e book was written for these within the finance group who wish to apply BIAs in monetary modelling, and for pc scientists who need an introduction to this rising software area.

 

 

Review

From the opinions:

 

“Anthony Brabazon and Michael O’Neill … have just published an interesting book that introduces a wide range of biologically inspired algorithms and their applications in financial modelling. … This book is a well-written, easy to read, brief introduction to the state-of-the-art biologically inspired algorithms.” (Mak Kaboudan, Genetic Programming and Evolvable Machines, Vol. 7, 2006)

 

“The objective of this book is to provide an introduction to biologically inspired algorithms and some tightly scoped practical examples in finance. … provides some new insights and alternative tools for the financial modelling toolbox. … The goal and objective of the book is to provide practical examples using these evolutionary algorithms and it does that decently … . Overall I found the book very enlightening … and it has provided ideas and alternative ways to think about solutions.” (Brad G. Kyer, SIGACT News, Vol. 40 (4), 2009)

About the Author

Anthony Brabazon lectures at University College Dublin. His analysis pursuits embody mathematical choice fashions, evolutionary computation, and the appliance of computational intelligence to the area of finance. He has printed in extra of 100 papers in journals, conferences {and professional} publications, and has been a member of the programme committee at each EuroGP and GECCO conferences, in addition to appearing as reviewer for a number of journals. He has additionally acted as guide to a variety of private and non-private firms in a number of international locations. He at present serves as a member of the CCAB (Ireland) Consultative Committee on Accounting Standards, and is a former Secretary and Treasurer of the Irish Accounting and Finance Association. Prior to becoming a member of UCD, he labored within the banking sector, and for KPMG.Michael O’Neill [BSc. (UCD), PhD (UL)] is a lecturer within the Department of Computer Science and Information Systems on the University of Limerick. He has over 70 publications on biologically impressed algorithms (BIAs). He coauthored the Springer title “Grammatical Evolution — Evolutionary Automatic Programming in an Arbitrary Language”, Genetic Programming Series, 2003, 160 pp., ISBN 1-4020-7444-1. He is without doubt one of the two authentic builders of the Grammatical Evolution algorithm, analysis that spawned an annual invited tutorial on the largest evolutionary computation convention and a world workshop, and can also be on quite a few related organising committees (e.g., GECCO 2005). Michael is an everyday reviewer for the main evolutionary computation (EC) journals, particularly IEEE Trans. on Evolutionary Computation, MIT Press’s Evolutionary Computation, and Springer’s Genetic Programming and Evolvable Hardware journal.