Name
Abstract | ||
|---|---|---|
In a recent article Chu et al. presented a computational model investigating the evolutionary origin of so-called uptake signal sequences in bacteria. In that contribution the authors used an agent-based approach. The main aim of this article is to understand the fitness-landscape on which the agents operate. We propose such a fitness- landscape and discuss its implications. This opens the possibility to use GAs for future simulations rather than the computationally expensive agent-based model. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553090_85 | ECAL |
Keywords | Field | DocType |
main aim,future simulation,recent article,computationally expensive agent-based model,so-called uptake signal sequence,bacterial dna,evolutionary origin,computational model,agent-based approach,computer programming,computer model,fitness landscape | Artificial life,Fitness landscape,Evolutionary algorithm,Computer science,Artificial intelligence,Computer programming,Machine learning | Conference |
Volume | ISSN | ISBN |
3630 | 0302-9743 | 3-540-28848-1 |
Citations | PageRank | References |
2 | 1.51 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominique Chu | 1 | 49 | 12.07 |
| Jonathan Rowe | 2 | 64 | 6.04 |