Genetic algorithms in statistical tolerancing

Genetic Algorithms and Statistical Methods: A Comparison

Statistical Investigations of Genetic Algorithms and Genetic Programming

Given data in the form of a collection of (x,y) pairs of real numbers, the symbolic function identification problem is to find a functional model of the form y = f(x) that fits the data. This paper describes a system for solution of symbolic function identification problems that combines a genetic algorithm and the Levenberg-Marquardt nonlinear regression algorithm. The genetic algorithm uses a...

A statistical framework for geometric tolerancing manufactured parts

An image is never noise free. Visual inspection of a part from its image is therefore affected by image errors. Understanding how image errors affect measurement precision is therefore critical for accurate inspection. In this paper, we lay out a statistical framework that allows to explicitly handle image errors and characterize their impact on measurement precision. A hierarchical model is al...

Gear metrology of statistical tolerancing by numerical simulation

Jean-Paul Vincent, Cyrille Baudouin, Jérôme Bruyere, Jean-Yves Dantan, Régis Bigot. Gear metrology of statistical tolerancing by numerical simulation. International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing/ AMCTM VIII, Jun 2008, Paris, France. World Scientific Publishing, Advanced mathematical&computational tools in metrology&testing VIII, 78, pp.344-...

Statistical Analysis of Genetic Algorithms in Discovering Technical Trading Strategies

In this study, the performance of ordinal GA-based trading strategies is evaluated under six classes of time series model, namely, the linear ARMA model, the bilinear model, the ARCH model, the GARCH model, the threshold model and the chaotic model. The performance criteria employed are the winning probability, accumulated returns, Sharpe ratio and luck coefficient. Asymptotic test statistics f...