Fuda van Diggelen

According to our database, Fuda van Diggelen authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Comparing Robot Controller Optimization Methods on Evolvable Morphologies.

Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben

Evol. Comput., 2024

Emergence of specialized Collective Behaviors in Evolving Heterogeneous Swarms.

Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben

CoRR, 2024

Emergence of Specialised Collective Behaviors in Evolving Heterogeneous Swarms.

Fuda van Diggelen, Matteo De Carlo, Nicolas Cambier, Eliseo Ferrante, Guszti Eiben

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Collective Random Walks of Flocking Agents Through Emergent Implicit Leadership.

Andres Garcia Rincon, Tugay Alperen Karagüzel, Fuda van Diggelen, Eliseo Ferrante

Proceedings of the Swarm Intelligence - 14th International Conference, 2024

Self-organized Flocking in Three Dimensions.

Tugay Alperen Karagüzel, Fuda van Diggelen, Andres Garcia Rincon, Eliseo Ferrante

Proceedings of the Swarm Intelligence - 14th International Conference, 2024

2023

The Influence of Robot Traits and Evolutionary Dynamics on the Reality Gap.

Fuda van Diggelen, Eliseo Ferrante, Nihed Harrak, Jie Luo, Daan Zeeuwe, A. E. Eiben

IEEE Trans. Cogn. Dev. Syst., 2023

2022

Collective motion emerging from evolving swarm controllers in different environments using gradient following task.

Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben

CoRR, 2022

Environment induced emergence of collective behavior in evolving swarms with limited sensing.

Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel, Nicolas Cambier, Eliseo Ferrante, A. E. Eiben

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

Learning directed locomotion in modular robots with evolvable morphologies.

Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben

Appl. Soft Comput., 2021

Comparing lifetime learning methods for morphologically evolving robots.

Fuda van Diggelen, Eliseo Ferrante, A. E. Eiben

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

The Effects of Adaptive Control on Learning Directed Locomotion.

Fuda van Diggelen, Robert Babuska, A. E. Eiben

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020