Overview
- Proposes a multi-objective GA to efficiently manage a stock portfolio
- Presents results of Evolutionary Computation applied to Computational Finance
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (6 chapters)
Keywords
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA
Authors: Antonio Daniel Silva, Rui Ferreira Neves, Nuno Horta
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-319-29392-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-3-319-29390-5Published: 19 February 2016
eBook ISBN: 978-3-319-29392-9Published: 11 February 2016
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XVII, 95
Number of Illustrations: 28 b/w illustrations, 18 illustrations in colour
Topics: Computational Intelligence, Algorithm Analysis and Problem Complexity, Quantitative Finance, Finance, general
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