Abstract.
Evolutionary modellers have recently taken an interest in the use of computer simulations based on genetic algorithms; this paper offers two contributions to this literature. In the initial sections we aim to place the GA into a general review of evolutionary dynamics, including Fisher's Principle. In the second half of the paper, we offer a modified GA that replaces the selection and crossover operators with a selective transfer operator. We argue this modified algorithm has a ready interpretation in the modelling of learning, namely as a proxy for imitation in a population working with modular technologies. A simple application is used to give an initial assessment of the algorithm and to test Fisher's Principle.
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Birchenhall, C., Kastrinos, N. & Metcalfe, S. Genetic algorithms in evolutionary modelling. J Evol Econ 7, 375–393 (1997). https://doi.org/10.1007/s001910050049
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DOI: https://doi.org/10.1007/s001910050049