Abstract
We introduce a distinction between algorithm performance and algorithm competence and argue that bio-inpsired computing should characterise the former rather than the latter. To exemplify this, we explore and extend a bio-inspired algorithm for collective construction influenced by paper wasp behaviour. Despite being provably general in its competence we demonstrate limitations on the algorithm's performance. We explain these limitations, and extend the algorithm to include pheromone-mediated behaviour typical of termites. The resulting hybrid "waspmite" algorithm shares the generality of the original wasp algorithm, but exhibits improved peroformance and scalability.
| Original language | Undefined/Unknown |
|---|---|
| Pages (from-to) | 267-290 |
| Number of pages | 24 |
| Journal | Artificial Life |
| Volume | 18 |
| Issue number | 3 |
| Publication status | Published - 2012 |
Keywords
- bio-inspired computing
- swarm intelligence collective construction,
- stigmergy
- evolution