Estimation of a simple genetic algorithm applied to a laboratory experiment

The aim of our contribution relies on studying the possibility of implementing a genetic algorithm in order to reproduce some characteristics of a simple laboratory experiment with human subjects. The novelty of our paper regards the estimation of the key-parameters of the algorithm, and the analysis of the characteristics of the estimator.

MoreLess

Year of publication:	2010-04
Authors:	Alfarano, Simone ; Eva, Camacho ; Josep, Domènech
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	Estimation \| genetic algoritms \| experimenst

More details

Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	C13 - Estimation ; C63 - Computational Techniques
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008540103