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Create powerful predictive models for Regression & Time Series Prediction,
Classification & Logistic Regression and explore Logic Synthesis.

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Gene Expression Programming

 

History

 

Gepsoft Limited is a predictive modeling software company located in Portugal. Gepsoft was founded in 2000 to market the Gene Expression Programming (GEP) technique invented by Dr. Candida Ferreira, founder and currently director of Gepsoft. The first product to be released was a COM component (GEPSR 1.0 and 2.0) followed by the desktop application APS (Automatic Problem Solver), which won the 2001 Microsoft Portugal Software Award (Science). Gepsoft continues to develop this product, which was renamed GeneXproTools (Gene Expression Programming Tools) after version 4.0.


The first version of APS, which only supported Function Finding, was launched in February 2001. Later that year Gepsoft released a second improved version that also introduced the Classification algorithm. Version 3.0 was released in 2003 after a complete rewrite and introduction of new algorithms for Time Series Prediction and the GEP-RNC algorithm for integrating random numerical constants. GeneXproTools 4.0 was released in July 2006 and supports for the first time unlimited datasets (for both variables and records) and new algorithms for Logic Synthesis and model simplification.

Two months later, in September of 2006, Gepsoft released the software GeneXproServer 1.0, an add-on to GeneXproTools 4.0 and a powerful batch processor of GeneXproTools runs that is essential for the unattended processing of many different datasets.

In March 2008 Gepsoft releases GeneXproTools 4.0 R2 with a new algorithm for Logistic Regression. In October 2011 GeneXproTools 4.3 was released with ensemble methods and model deployment to Excel, with the add-on GeneXproServer 4.3 following in March 2012. And in May 2013 Gepsoft releases GeneXproTools 5.0 with full support for categorical variables and missing values and a multifunctional Data Panel for powerful data analyses & visualization.



Research
 

Besides its main website (https://www.gepsoft.com/), Gepsoft maintains a dynamic research website that tracks the developments in Gene Expression Programming:

https://www.gene-expression-programming.com/

The GEP algorithm outperforms simple non-genotype-phenotype techniques by a factor of 100 - 60,000. This groundbreaking performance brings predictive modeling to the average personal computer. These advances are due to a novel structural organization that more closely mirrors the evolutionary mechanisms in nature, making the design process not only thoroughly enjoyable but also highly efficient.

 

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