Valjee, Ameel and Aslan, Bilal and Nitschke, Geoff (2025) Evolving Swarm-Robotic Behavioral Allocations, Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2025), Málaga, Spain, ACM.
This is the latest version of this item.
![[thumbnail of 2025-evolving-swarm-robotic-behavioral-allocations.pdf]](https://pubs.cs.uct.ac.za/style/images/fileicons/text.png) |
Text
2025-evolving-swarm-robotic-behavioral-allocations.pdf Download (961kB) |
Abstract
This study investigates comparative methods for two-step collective behavior evolution (evolving group behaviors from pre-evolved behaviors), to encourage the evolution of behavioral diversity in swarm-robotic applications. Specifically, we investigate behavioral diversity evolution given pre-evolved behaviors in collective behaviors that are effective across increasingly complex and difficult collective herding task environments. Results indicate that specific complements of pre-evolved (lower task-performance) collective herding behaviors was suitable for achieving high task performance across all environments and task difficulty levels. Results support the efficacy of the two-step approach for evolving behaviorally heterogeneous groups in collective behavior tasks that benefit from groups comprising various complementary behaviors.
| Item Type: | Conference paper |
|---|---|
| Subjects: | Computing methodologies > Artificial intelligence |
| Date Deposited: | 13 Oct 2025 12:27 |
| Last Modified: | 13 Oct 2025 12:27 |
| URI: | https://pubs.cs.uct.ac.za/id/eprint/1746 |
Available Versions of this Item
-
Evolving Swarm-Robotic Behavioral Allocations. (deposited 13 Oct 2025 12:26)
- Evolving Swarm-Robotic Behavioral Allocations. (deposited 13 Oct 2025 12:27) [Currently Displayed]
Actions (login required)
 |
View Item |