Abstract
This article proposes a novel multiagent approach to optimization inspired by diffusion in nature called Evolutionary Multiagent Diffusion (EMD). Each agent in EMD makes the decision to diffuse based on the information shared between its parent and its siblings. The behavior of EMD is analyzed and its relation to similar search algorithms is discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 715-733 |
| Number of pages | 19 |
| Journal | International Journal of Pattern Recognition and Artificial Intelligence |
| Volume | 16 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Sept 2002 |
Scopus Subject Areas
- Software
- Computer Vision and Pattern Recognition
- Artificial Intelligence
User-Defined Keywords
- Autonomy oriented computation
- Emergent behavior
- Evolutionary diffusion
- Multiagent system
- Optimization