"What about development?" There is a well-established part of evolutionary computing in which there is a developmental process modeled as well. The direct tran

"What about development?" There is a well-established part of evolutionary computing in which there is a developmental process modeled as well. The direct translation from genotype to phenotype without an intermediate level, might namely make the search process harder! The most often used ones are artificial gene regulatory networks. Also, Eiben who worked with Winfield in the Symbrion project, had one of the first papers that I know on multiple genders. "A multi-sexual genetic algorithm for multiobjective optimization" Regarding "efficiency", this is precisely the angle of attack of Alan here, and he makes this argument better than in general terms of "efficiency", namely by trying to formulate the "computational energy costs". That evolutionary search uses more resources than another type of search is however just you saying so. Some arguments would be great. :-)