M32.3 CONNECT THE MECHANISM
Coordinate simple searchers through shared signals
Eight drones hunt for the strongest radio signal, each pulled by its own best find and the swarm's. Work one update by hand, then catch the swarm settling for the wrong transmitter.
LESSON OVERVIEW13 min lesson
Lesson overview
Eight drones hunt for the strongest radio signal, each pulled by its own best find and the swarm's. Work one update by hand, then catch the swarm settling for the wrong transmitter.
What you’ll explore
- Particle-swarm and ant-colony methods use distributed candidate behavior and accumulated signals to search; parameter choices, diversity, and constraints determine convergence and usefulness.
GO TO THE SOURCE
Original explanations, connected to the research.
Particle swarm optimization (Kennedy & Eberhart, 1995)A modified particle swarm optimizer (Shi & Eberhart, 1998), which introduced the inertia weightThe particle swarm: explosion, stability, and convergence in a multidimensional complex space (Clerc & Kennedy, 2002)Ant Colony System: a cooperative learning approach to the traveling salesman problem (Dorigo & Gambardella, 1997)Artificial Intelligence: A Modern Approach — authors’ materialsSuggest a correction
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