Projects per year
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.
Original language | Undefined/Unknown |
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Pages | 1151-60 |
Publication status | Published - 1 Sept 2007 |
Projects
- 1 Finished
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PLAZZMID: Evolutionary algorithms from bacterial
2/06/08 → 30/11/11
Project: Research project (funded) › Research