Authors
Michael O’Neill, Anthony Brabazon
Publication date
2023/11/2
Book
Handbook of Evolutionary Machine Learning
Pages
695-713
Publisher
Springer Nature Singapore
Description
One way to measure the impact of our field of research on finance is to analyse the adoption of evolutionary machine learning in the finance literature. In this study, we focus on articles appearing in the top-ranked journals in finance. A number of interesting observations are made including that there appears to be a trend in the adoption of evolutionary machine learning across a growing and diverse set of topics.
Scholar articles
M O'Neill, A Brabazon - Handbook of Evolutionary Machine Learning, 2023