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.
@inproceedings(SS-ECAL07a, author = "Susan Stepney and Tim Clarke and Peter Young", title = "PLAZZMID: An evolutionary agent-based architecture inspired by bacteria and bees", pages = "1151--1160", crossref = "ECAL07" ) @proceedings(ECAL07, title = "ECAL 2007, Lisbon, Portugal, September 2007", booktitle = "ECAL 2007, Lisbon, Portugal, September 2007", series = "LNAI", volume = 4648, publisher = "Springer", year = 2007 )