Applicability of genetic algorithms to parameter estimation of economic models

Parameter Estimation By Genetic Algorithms

Most of the existing parameter estimation methods require much auxiliary information and is not easy to handle for practical applications. In this paper , we use genetic algorithms, which are becoming an important tool for optimization problems, to estimate parameters in nonlinear regression models. The computational experiments indicate that this genetic based method is useful, eeective and ad...

The Application of Genetic Algorithms to Parameter Estimation in Lead-Acid Battery Equivalent Circuit Models

Economic Design of T2 −V SSC Chart Using Genetic Algorithms

The principal function of a control chart is to help management distinguish different sources of variation in a process. Control charts are widely used as a graphical tool to monitor a process in order to improve the quality of the product. Chen and Hsieh (2007) have designed a T2 control chart using a Variable Sampling Size and Control limits (V SSC) scheme. They have shown that using the V SSC...

Using Genetic Algorithms to Optimize Software Quality Estimation Models

Assessing software quality is fundamental in the software developing field. Most software quality characteristics cannot be measured before a certain period of use of the software product. However, they can be predicted or estimated based on other measurable quality attributes. Software quality estimation models are built and used extensively for this purpose. Most such models are constructed u...

A comparison of algorithms for maximum likelihood estimation of Spatial GLM models

In spatial generalized linear mixed models, spatial correlation is assumed by adding normal latent variables to the model. In these models because of the non-Gaussian spatial response and the presence of latent variables the likelihood function cannot usually be given in a closed form, thus the maximum likelihood approach is very challenging. The main purpose of this paper is to introduce two n...