Evolving Swarm-Robotic Behavioral Allocations

Valjee, Ameel and Aslan, Bilal and Nitschke, Geoff (2025) Evolving Swarm-Robotic Behavioral Allocations, Proceedings of Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025), Málaga, Spain, ACM.

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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 12:26
Last Modified:	13 Oct 2025 12:26
URI:	https://pubs.cs.uct.ac.za/id/eprint/1744

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  • Evolving Swarm-Robotic Behavioral Allocations. (deposited 13 Oct 2025 12:27)

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