Ong Boon Ping
Papers
1
Total Citations
4
H-Index
1
About
Ong Boon Ping is a researcher whose work lies at the intersection of swarm intelligence, autonomous robotics, and bio-inspired optimization algorithms. His most notable contribution is the development of the Fly Optimization Algorithm (FOA), a novel metaheuristic inspired by the foraging behavior of flies, first introduced in his 2010 paper "A novel Fly Optimization Algorithm for swarming application." This algorithm was specifically designed to address path planning challenges for swarms of autonomous surface vehicles, enabling them to collaboratively locate targets—such as the deepest portions of a water body—through decentralized coordination. Though the foundational paper has garnered 4 citations, its conceptual novelty has laid important groundwork for subsequent studies in swarm robotics and multi-agent systems. Ong’s work reflects a deep commitment to bridging theoretical algorithm design with practical robotic applications, particularly in marine environments. His research continues to influence emerging studies on adaptive swarm behavior and autonomous navigation, marking him as a thoughtful contributor to the growing field of nature-inspired computing for real-world robotic swarms.
Research Focus
Key Achievements
Top Papers
- 1A novel Fly Optimization Algorithm for swarming application4 citations · 2010