Fabrice Lauri
Papers
3
Total Citations
41
H-Index
3
About
Fabrice Lauri’s research lies at the intersection of multi-agent systems, swarm intelligence, and bio-inspired optimization. He is best known for his pioneering work on the multi-agent patrolling problem, where he developed novel algorithms that enable teams of autonomous agents to coordinate efficiently and continuously visit critical areas in an environment. His two most-cited papers, each with 19 citations, introduced a two-step evolutionary and Ant Colony Optimization (ACO) approach, demonstrating how natural foraging behavior can be harnessed to solve complex coordination tasks. Beyond patrolling, Lauri has explored immune-based agent architectures, formalizing how biological immune principles can inspire robust, adaptive multi-agent systems. His contributions provide foundational methods for applications in surveillance, search-and-rescue, and environmental monitoring. With a citation record that underscores the relevance of his work, Lauri continues to influence researchers seeking scalable, decentralized solutions for real-world multi-agent coordination.
Research Focus
Key Achievements
Top Papers
- 1
- 2Ant Colony Optimization applied to the Multi-Agent Patrolling Problem19 citations · 2006
- 3Formal specification of an immune based agent architecture3 citations · 2010