collaborators

5 papers

q-fin.PM2024

Finding Near-Optimal Portfolios With Quality-Diversity

Bruno Gašperov, Marko Đurasević, Domagoj Jakobovic

The majority of standard approaches to financial portfolio optimization (PO) are based on the mean-variance (MV) framework. Given a risk aversion coefficient, the MV procedure yiel…

cs.NE2023

A New Angle: On Evolving Rotation Symmetric Boolean Functions

Claude Carlet, Marko Ðurasevic, Bruno Gašperov +3

Rotation symmetric Boolean functions represent an interesting class of Boolean functions as they are relatively rare compared to general Boolean functions. At the same time, the fu…

q-fin.PM20231 cited

Deep Reinforcement Learning for Robust Goal-Based Wealth Management

Tessa Bauman, Bruno Gašperov, Stjepan Begušić +1

Goal-based investing is an approach to wealth management that prioritizes achieving specific financial goals. It is naturally formulated as a sequential decision-making problem as…

cs.NE2023

On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search

Bruno Gašperov, Marko Đurasević

Evolvability refers to the ability of an individual genotype (solution) to produce offspring with mutually diverse phenotypes. Recent research has demonstrated that divergent searc…

cs.NE2023

A Search for Nonlinear Balanced Boolean Functions by Leveraging Phenotypic Properties

Bruno Gašperov, Marko Đurasević, Domagoj Jakobović

In this paper, we consider the problem of finding perfectly balanced Boolean functions with high non-linearity values. Such functions have extensive applications in domains such as…