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Swarm Intelligence & Analytics

Inspired by biology, powered by mathematics — DISAL's flagship research area designs scalable decentralised algorithms for drone fleets, smart grids, and complex system optimisation.

Swarm Intelligence & Analytics

Swarm Intelligence & Analytics

Drawing inspiration from ant colonies, bird flocks, and fish schools, our swarm intelligence research builds algorithms that solve complex optimisation problems through collective emergent behaviour. Applications range from multi-UAV coordination and smart-grid load balancing to logistics and disaster-response robotics.

Particle Swarm Optimisation Multi-Agent RL Ant Colony Optimisation Robotics ROS 2 Decentralised Control

Key Research Topics

Multi-UAV Coordination

Decentralised formation control, task allocation, and collision avoidance for heterogeneous drone swarms in GPS-denied environments.

Swarm Optimisation Algorithms

Bio-inspired algorithms — PSO, ACO, Bee Algorithms — applied to NP-hard combinatorial and continuous optimisation problems.

Smart Grid Applications

Swarm-based demand-response and fault-isolation strategies for resilient distributed energy networks.

Collective Decision-Making

Consensus protocols and stigmergic communication mechanisms enabling robust collective decisions without centralised coordination.

Current Projects

DroneMesh: Multi-UAV Disaster Response Swarm

Decentralised swarm of 20+ UAVs that coordinate search-and-rescue operations in GPS-denied post-disaster environments using only local communication and stigmergic shared maps.…

Active · 2024–2026
ROS 2 C++ PX4 Python Redis LoRa
GridSwarm: Distributed Energy Network Optimisation

Swarm-optimised demand-response and fault-isolation agents deployed on a microgrid testbed at the University of Ghana, reducing peak load variance by 31%.…

Pilot · 2025
Python JADE OpenDSS PostgreSQL Grafana

Related Publications

2024 · IEEE Robotics and Automation Letters
Decentralised UAV Swarm Control in GPS-Denied Environments

Justice Kwame Appati, Kofi Osei, Elena Rodriguez

IEEE Robotics and Automation Letters

2023 · Journal of Biomedical Informatics
Edge AI Pipelines for Real-Time Community Disease Surveillance

Anya Chen, Sarah Jenkins

Journal of Biomedical Informatics

Interested in Collaborating?

We welcome partnerships with institutions, NGOs, and researchers working at the frontier of AI and this domain.