Abstract
Up to this point, the main focus of the book was on the behavior of the canonical GA (Goldberg, 1989) used as a metaphor for learning in economic models. Originally, the canonical GA has been developed as a tool for optimization of non economic, static problems. The canonical GA is not a genuine tool for economic, agent based modeling. If a genetic algorithm is to be used as a true metaphor for economic learning, modifications to the canonical form of the algorithm are needed.
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© 2001 Springer-Verlag Berlin Heidelberg
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Riechmann, T. (2001). Modifications: Election and Meta-Learning. In: Learning in Economics. Contributions to Economics. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57612-6_6
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DOI: https://doi.org/10.1007/978-3-642-57612-6_6
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1384-5
Online ISBN: 978-3-642-57612-6
eBook Packages: Springer Book Archive