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

headlong

鳥(niǎo)籠

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

consolidate

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

委派

損壞

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.

來(lái)這真柔軟

interlude

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.

燈泡

Apogee

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

AVID

Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/e/image/317894.jpg