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Parameter Calibration in Evolutionary Algorithms by firas hussein is a document available to read on EtoBox.

What is Parameter Calibration in Evolutionary Algorithms about?

The document presents a method for parameter calibration and relevance estimation in evolutionary algorithms, focusing on how to optimize parameters for better performance across various problems. It introduces the CRE method, which uses information theory to assess parameter sensitivity and relevance, ultimately simplifying the calibration process. The method is demonstrated through an agent-based application in evolutionary economics, showing improved predictive power and generalizability with fewer param

Author

firas hussein

Language

EN