Genetic algorithms in evolutionary modelling

Chris Birchenhall, Nikos Kastrinos and John Metcalfe
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Chris Birchenhall: School of Economic Studies, PREST and CRIC, University of Manchester, Oxford Road, Manchester M13 9PL, UK
Nikos Kastrinos: School of Economic Studies, PREST and CRIC, University of Manchester, Oxford Road, Manchester M13 9PL, UK

Journal of Evolutionary Economics, 1997, vol. 7, issue 4, 375-393

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.

Keywords: Genetic algorithms; Competition; Evolutionary dynamics; Population learning (search for similar items in EconPapers)
JEL-codes: D83 O31 (search for similar items in EconPapers)
Date: 1997-12-12
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Citations: View citations in EconPapers (16)

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