Illinois Genetic Algorithms Laboratory

I just ran into two nice packages rJava and JRI that allow running R code from Java and Java code from R. The packages are developed by Department of Computer Oriented Statistics and Data Analysis at Universität Augsburg.
The code below is an excerpt of a simple example that computes the fitness of a population using […]

An interesting post at hipercroquis discusses a seminar course in architecture at Columbia entitled Algorithmic Architecture:

In this seminar students will explore rule-based systems for generating architectural form, designing “genetic material” the computer can process to create new architectural morphologies. Using scripting languages available in 3d packages (i.e. Maya Embedded Language (MEL) and 3dMaxScript, Cinema4d COFFEE) […]

As you may have noticed by now, we’ve left the comfort of Blogger and moved IlliGAL Blogging to the IlliGAL home page.  We hope you enjoy our new consolidated home and new look.
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Freshinfo reports that a latest X-Ray inspection system by Ishida uses GAs for image processing:

The IX-GA uses self-learning Genetic Algorithm (GA) technology to offer maximum detection and reliability, according to Ishida product engineer Jim Bedford

According to Ishida’s website:

A work “Image Processing Optimization Method and Application to the X-lay Inspection System by Genetic Algorithm” […]

Xavier Llorà just announced the release of evolution to knowledge (E2K), a generic evolutionary algorithm and genetics based machine learning toolbox. Here is a brief description of E2K:

Evolution to Knowledge (E2K) is a set of Data to Knowledge (D2K) modules and itineraries that perform genetic algorithms (GA) and genetics-based machine learning (GBML) related tasks. The […]

I finally got to upload photos from Iceland. Claudio’s photos are posted here and here.

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ThomasNet reports that Genalytics released Genalytics Model 6.0, that uses genetic algorithms to identify credit risks, anticipate customer attrition, and detect probable bankruptcies:
Genalytics Model 6.0 transforms large amounts of transaction data into predictive intelligence and uses genetic algorithms to automatically search and identify key combinations of time series variables found in any dataset. By studying […]