Name
Abstract | ||
|---|---|---|
Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naïve approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. Here we present a process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure, and indicate how that might be further abstracted. |
Year | Venue | Keywords |
|---|---|---|
2007 | ECAL | bio-inspired algorithm design,sophisticated algorithm,evolutionary agent-based architecture,simple model,classical evolutionary algorithm,simplistic description,biological evolution,certain problem,corresponding richer analogical computational,richer evolutionary algorithm,evolutionary biology,algorithm design,evolutionary algorithm,evolutionary algorithms |
Field | DocType | Volume |
Interactive evolutionary computation,Evolutionary acquisition of neural topologies,Evolutionary algorithm,Human-based evolutionary computation,Computer science,Evolutionary computation,Artificial intelligence,Cultural algorithm,Evolutionary programming,Evolutionary music | Conference | 4648 |
ISSN | Citations | PageRank |
0302-9743 | 4 | 0.50 |
References | Authors | |
12 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Susan Stepney | 1 | 813 | 113.21 |
| Tim Clarke | 2 | 102 | 20.02 |
| Peter Young | 3 | 4 | 0.50 |