activity
20182021
collaborators

5 papers

cs.NE2021

Emergence of Structural Bias in Differential Evolution

Bas van Stein, Fabio Caraffini, Anna V. Kononova

Heuristic optimisation algorithms are in high demand due to the overwhelming amount of complex optimisation problems that need to be solved. The complexity of these problems is wel…

stat.ME2021

Is there Anisotropy in Structural Bias?

Diederick Vermetten, Anna V. Kononova, Fabio Caraffini +2

Structural Bias (SB) is an important type of algorithmic deficiency within iterative optimisation heuristics. However, methods for detecting structural bias have not yet fully matu…

cs.LG2020

Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform

Johana Florez-Lozano, Fabio Caraffini, Carlos Parra +1

Real-world problems such as landmine detection require multiple sources of information to reduce the uncertainty of decision-making. A novel approach to solve these problems includ…

cs.NE2018

Multi-Strategy Coevolving Aging Particle Optimization

Giovanni Iacca, Fabio Caraffini, Ferrante Neri

We propose Multi-Strategy Coevolving Aging Particles (MS-CAP), a novel population-based algorithm for black-box optimization. In a memetic fashion, MS-CAP combines two components w…

cs.AI2018

Compact Optimization Algorithms with Re-sampled Inheritance

Giovanni Iacca, Fabio Caraffini

Compact optimization algorithms are a class of Estimation of Distribution Algorithms (EDAs) characterized by extremely limited memory requirements (hence they are called "compact")…