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Titlebook: Evolutionary Computation in Economics and Finance; Shu-Heng Chen Book 2002 Springer-Verlag Berlin Heidelberg 2002 Finance.agents.algorithm

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Maciej Turala,Dorota Sikora-Fernandezrs. The sensitivity of these models, however, is often unknown and is rarely studied. The evidence reported here demonstrates that even small changes to simple models that adopt evolutionary dynamics can engender radically different emergent properties. This gives cause for concern when modeling com
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https://doi.org/10.1007/978-1-349-01258-9e time-series, or cross-sectional observations) . These algorithms — modeled after genetic theories and Darwinian concepts, such as natural selection and survival of the fittest — permit the discovery of equations, in symbolic form, that re-create or, at least, mimic the data-generating process. Thi
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https://doi.org/10.1007/978-3-030-79843-7c Algorithm (basically a GA combined with a Classifier System ). The difference between these two types of GA is often neglected, but we show that for a broad class of problems this difference is essential as it may lead to widely differing performances. The underlying cause for this is a so called spite effect.
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On Two Types of GA-Learningc Algorithm (basically a GA combined with a Classifier System ). The difference between these two types of GA is often neglected, but we show that for a broad class of problems this difference is essential as it may lead to widely differing performances. The underlying cause for this is a so called spite effect.
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Shu-Heng ChenFirst book focusing on the application of evolutionary computation to economics and finance.Historical review (chap. 1).Brief survey with bibliography (more than 380 papers ever published in this fiel
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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/e/image/317894.jpg
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